{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<span style=\"font-size:3rem\"><strong>Who Reviews the Reviewers?</strong></span>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"toc\">\n",
    "  <ul class=\"toc-item\">\n",
    "    <li><span><a href=\"#Introduction\" data-toc-modified-id=\"Introduction\"><span class=\"toc-item-num\"></span>Introduction</a></span>\n",
    "    </li>\n",
    "    <li><span><a href=\"#Load-Data\" data-toc-modified-id=\"Load\"><span class=\"toc-item-num\"></span>Load Data</a></span>\n",
    "    </li>\n",
    "     <li><span><a href=\"#Exploration\" data-toc-modified-id=\"Cleaning\"><span class=\"toc-item-num\"></span>Cleaning</a></span>\n",
    "    </li>\n",
    "     <li><span><a href=\"#Exploration\" data-toc-modified-id=\"Exploration\"><span class=\"toc-item-num\"></span>Exploration</a></span>\n",
    "    </li>\n",
    "     <li><span><a href=\"#Random-Forest\" data-toc-modified-id=\"Random-Forest\"><span class=\"toc-item-num\"></span>Random Forest</a></span>\n",
    "         <ul class=\"toc-item\">\n",
    "            <li><span><a href=\"#Counts-Vectors\" data-toc-modified-id=\"Vector-Counts\"><span class=\"toc-item-num\"></span>Count Vectors</a></span></li>\n",
    "    </li>  \n",
    "      <li><span><a href=\"#Counts-Vector-Split\" data-toc-modified-id=\"Vector-Counts-Split\"><span class=\"toc-item-num\"></span>Count Vectors Split</a></span></li>\n",
    "    </li> \n",
    "      <li><span><a href=\"#Counts-Vector-Descriptive\" data-toc-modified-id=\"Vector-Counts-Descriptive\"><span class=\"toc-item-num\"></span>Count Vectors Descriptive</a></span></li>\n",
    "    </li> \n",
    "    </ul>\n",
    "      <li><span><a href=\"#Conclusion\" data-toc-modified-id=\"Conclusion\"><span class=\"toc-item-num\"></span>Conclusion</a></span>\n",
    "    </li>\n",
    "  </ul>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an artificial intelligence learning project. The purpose of this project is to apply and explore A.I. concepts to a real world problem. For our topic we have chosen to investigate Amazon user reviews and their helpfulness to customers. Specifically, we are going to apply basic procedures of A.I. subdivision, machine learning, to see if we can create a model that will allow us to predict when a review is considered helpful to customers only by looking at the content of the review. The main M.L. methods will attempt are random forests and vector counts. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load Data\n",
    "\n",
    "Our data comes from UCSD professor Julian McAuley's <a href=\"https://jmcauley.ucsd.edu/data/amazon/\">collection of Amazon review data</a>. \n",
    " These reviews were written and submitted at some point between the dates May 1996 - July 2014.\n",
    "\n",
    "Each of the data files we have added are \"5-core.\" That is, they have been filtered down from a larger dataset in such a way that these remaining reviews are on products that have at least 5 reviews and each review is written by a reviewer that has written at least 5 reviews. Duplicate reviews have been removed to an extent. There may still be instances of duplicate reviews as in the case where different users accounts post a copy of the same review, but said duplicates only account for less than 1 percent of the data. \n",
    "\n",
    "Each of the 4 data files we have included contain reviews from distinct product categories. In this code block we join the data from all four sources into one pandas dataframe. We also add a column in the dataset called \"category\" and label each of the reviews with a shorthand name for their category:\n",
    " * Hardware - Tools and home improvement, 134,476 reviews\n",
    " * Beauty - Beauty products, 198,502 reviews\n",
    " * Games - Toys and games, 167,597 reviews\n",
    " * Pets - Pet supplies, 157,836 reviews\n",
    " \n",
    "In all, that is a total starting dataset of about 650k reviews. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "dfHardware = pd.read_json('data/reviews_Tools_and_Home_Improvement_5.json.gz', lines=True, compression='infer')\n",
    "dfHardware[\"category\"] = \"Hardware\" \n",
    "dfBeauty = pd.read_json('data/reviews_Beauty_5.json.gz', lines=True, compression='infer')\n",
    "dfBeauty[\"category\"] = \"Beauty\" \n",
    "dfGames = pd.read_json('data/reviews_Toys_and_Games_5.json.gz', lines=True, compression='infer')\n",
    "dfGames[\"category\"] = \"Games\" \n",
    "dfPets = pd.read_json('data/reviews_Pet_Supplies_5.json.gz', lines=True, compression='infer')\n",
    "dfPets[\"category\"] = \"Pets\" \n",
    "frames = [dfHardware, dfBeauty, dfGames, dfPets]\n",
    "df = pd.concat(frames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>reviewerID</th>\n",
       "      <th>asin</th>\n",
       "      <th>reviewerName</th>\n",
       "      <th>helpful</th>\n",
       "      <th>reviewText</th>\n",
       "      <th>overall</th>\n",
       "      <th>summary</th>\n",
       "      <th>unixReviewTime</th>\n",
       "      <th>reviewTime</th>\n",
       "      <th>category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A4IL0CLL27Q33</td>\n",
       "      <td>104800001X</td>\n",
       "      <td>D. Brennan</td>\n",
       "      <td>[0, 1]</td>\n",
       "      <td>I hate it when my shirt collars, not otherwise...</td>\n",
       "      <td>5</td>\n",
       "      <td>Perfect for collar stay management</td>\n",
       "      <td>1390953600</td>\n",
       "      <td>01 29, 2014</td>\n",
       "      <td>Hardware</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A3Q5W5E7TDVLJF</td>\n",
       "      <td>104800001X</td>\n",
       "      <td>funnyc130</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>These little magnets are really powerful for t...</td>\n",
       "      <td>5</td>\n",
       "      <td>Neat</td>\n",
       "      <td>1369958400</td>\n",
       "      <td>05 31, 2013</td>\n",
       "      <td>Hardware</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A37KNOJXE2FU6</td>\n",
       "      <td>104800001X</td>\n",
       "      <td>Joseph Yonke II</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>I wanted something this small to mount on the ...</td>\n",
       "      <td>5</td>\n",
       "      <td>Very small and thin</td>\n",
       "      <td>1363132800</td>\n",
       "      <td>03 13, 2013</td>\n",
       "      <td>Hardware</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A3U4AFML9SZPWK</td>\n",
       "      <td>104800001X</td>\n",
       "      <td>Leith Tussing \"I like tacos.\"</td>\n",
       "      <td>[0, 0]</td>\n",
       "      <td>I use these to magnetize my Warhammer 40K mini...</td>\n",
       "      <td>5</td>\n",
       "      <td>Excellent hobby magnets</td>\n",
       "      <td>1371340800</td>\n",
       "      <td>06 16, 2013</td>\n",
       "      <td>Hardware</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A36Y7X194VWVKA</td>\n",
       "      <td>104800001X</td>\n",
       "      <td>Mark D.</td>\n",
       "      <td>[23, 25]</td>\n",
       "      <td>They are soo freaking annoying!!  Why?! You sp...</td>\n",
       "      <td>5</td>\n",
       "      <td>They're annoying... which is why they get five...</td>\n",
       "      <td>1376006400</td>\n",
       "      <td>08 9, 2013</td>\n",
       "      <td>Hardware</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       reviewerID        asin                   reviewerName   helpful  \\\n",
       "0   A4IL0CLL27Q33  104800001X                     D. Brennan    [0, 1]   \n",
       "1  A3Q5W5E7TDVLJF  104800001X                      funnyc130    [0, 0]   \n",
       "2   A37KNOJXE2FU6  104800001X                Joseph Yonke II    [0, 0]   \n",
       "3  A3U4AFML9SZPWK  104800001X  Leith Tussing \"I like tacos.\"    [0, 0]   \n",
       "4  A36Y7X194VWVKA  104800001X                        Mark D.  [23, 25]   \n",
       "\n",
       "                                          reviewText  overall  \\\n",
       "0  I hate it when my shirt collars, not otherwise...        5   \n",
       "1  These little magnets are really powerful for t...        5   \n",
       "2  I wanted something this small to mount on the ...        5   \n",
       "3  I use these to magnetize my Warhammer 40K mini...        5   \n",
       "4  They are soo freaking annoying!!  Why?! You sp...        5   \n",
       "\n",
       "                                             summary  unixReviewTime  \\\n",
       "0                 Perfect for collar stay management      1390953600   \n",
       "1                                               Neat      1369958400   \n",
       "2                                Very small and thin      1363132800   \n",
       "3                            Excellent hobby magnets      1371340800   \n",
       "4  They're annoying... which is why they get five...      1376006400   \n",
       "\n",
       "    reviewTime  category  \n",
       "0  01 29, 2014  Hardware  \n",
       "1  05 31, 2013  Hardware  \n",
       "2  03 13, 2013  Hardware  \n",
       "3  06 16, 2013  Hardware  \n",
       "4   08 9, 2013  Hardware  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "658411"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point we create the \"helpfulness\" column. The value is just the ratio of positive \"helpful\" votes to the total number of votes (both helpful and unhelpful) on a review."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"total_votes\"] = df.helpful.str[1]\n",
    "df[\"helpful_votes\"] = df.helpful.str[0]\n",
    "df[\"helpfulness\"] = df.helpful.str[0] / df.helpful.str[1]\n",
    "df.drop(columns=[\"helpful\"], inplace=True)\n",
    "\n",
    "df.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In cleaning the dataset, the most important filtering we want to do is set a baseline number of total votes for each review to have. This is important because votes are our sole standard by which we are classifying the reviews. A review with too few votes is likely to have helpfulness score that is volatile and inaccurate compared to the reading it would have given more votes. And of course, reviews with zero votes are mathematically useless for our modeling. We will set our baseline at least 5 votes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "64127"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=df[df.total_votes >= 5]\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "len(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can immediately see a stark reduction in total dataset count. In fact it has been reduced to a tenth of the original size. What this tells us is that the vast majority of the reviews in the dataset have few to no votes on them at all. That is an unfortunate fact for our project because it means a great reduction in the amount of useful data we have to model on. \n",
    "\n",
    "It will be useful to investigate what correlations may exist with the way people choose to vote on reviews. To catch some insight into this, we create a scatter plot of total votes vs helpfulness on the remaining data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Helpfulness')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axc = plt.subplots(figsize=(10, 10))\n",
    "axc.scatter(df.total_votes, df.helpfulness)\n",
    "\n",
    "axc.set_title('Total Votes vs Helpfulness', fontsize= 30)\n",
    "axc.set_xlabel('Total Votes', fontsize= 20)\n",
    "axc.set_ylabel('Helpfulness', fontsize= 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There definitely seems to be a correlation. The more votes a review has, the higher the likelihood it the review is positively scored as helpful. It would not benefit our modeling to skew the dataset one way or the other, helpful or unhelpful. We can cut away those reviews that have a large number of votes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62666"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[df.total_votes <= 100]\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "len(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Placing a ceiling of 100 votes does not significantly impact the amount of data we have left to work with, or at least not nearly as significantly as placing the floor value. \n",
    "\n",
    "If we make a scatter plot of this new zoomed in picture, we can make out more detail."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Helpfulness')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axc = plt.subplots(figsize=(10, 10))\n",
    "axc.scatter(df.total_votes, df.helpfulness)\n",
    "\n",
    "axc.set_title('Total Votes vs Helpfulness', fontsize= 30)\n",
    "axc.set_xlabel('Total Votes', fontsize= 20)\n",
    "axc.set_ylabel('Helpfulness', fontsize= 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can clearly see patterns emerge and pose interpretations on them. \n",
    "\n",
    "As we move along the total votes axis, we see that review helpfulness ratings follow a kind of logarithmic curve. The curves tend high, center, or low depending on starting position. It would appear that reviews that are judged as helpful, unhelpful, or neutral early on tend towards those respective helpfulness ratings the more votes are amassed. However, only the reviews that tend toward the positive helpfulness continue to gain in total votes while non-helpful review curves fade off. There are some possible explanations for this. \n",
    "\n",
    "* Review readers are less inclined to issue negative votes. When faced with an unhelpful review, readers are more hesitant or less motivated to pass judgment. This may also help explain the vast numbers of unrated reviews.  \n",
    "* Amazon senses which reviews are trending as helpful and disproportionately gives them more exposure to customers in an effort to maximize their utility as helpful reviews. By the same token, reviews that begin trending unhelpful are hidden away or buried to the point that readers will barely see them, never mind vote on them.\n",
    "\n",
    "The implication of these trends is that the majority of reviews in the usable dataset are skewed towards high helpfulness rating. It may seem from the above graph that we could lower our total votes ceiling to bring the spread of helpful to unhelpful reviews closer to the center, but the 2D histogram of the same variables shows that this would be futile.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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xi6wPAGCjW2h4a60du53lLcmTF1QOAEB3NtphUwAAtkF4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoyOb1LmA1nHPFbXOX9z56vctYM9/7qcvXu4Q1U5dctt4lrKnrvvWt9S5hTbVrtq53CWurXbfeFaypdl1b7xLWzi6+7/juZuQNAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjCw9vVXVkVZ1XVedX1TNnLL9lVf1bVf1vVZ1bVY9ddI0AABvVQsNbVW1K8tIkRyU5JMmxVXXIVLcnJ/lYa+0eSY5I8hdVtcci6wQA2KgWPfJ2eJLzW2sXtNauTnJqkqOn+rQkt6iqSrJXkq8k2brYMgEANqZFh7f9klw08XrL2DbpJUnumuTiJB9N8puttesWUx4AwMa2ecGfVzPa2tTrhyb5cJIHJfm+JG+tqne31r5+gxVVHZ/k+CTZ8ya3yn6v2IWPrH7hwvWuYM1c9+0r17uENdW2XrPeJaypdt30f767GP9uBDagRY+8bUlywMTr/TOMsE16bJI3tsH5ST6T5C7TK2qtndRaO7S1dujuu998zQoGANhIFh3ePpDk4Ko6aLwI4Zgkp031uTDJg5OkqvZN8gNJLlholQAAG9RCD5u21rZW1VOSnJFkU5KTW2vnVtUTx+UnJnlBklOq6qMZDrP+Tmvt0kXWCQCwUS36nLe01k5PcvpU24kTP1+c5CGLrgsAoAfusAAA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI5vXu4DVUK1lt6uvXe8y1ky76qr1LmHNtK3XrHcJa6pd19a7hLXVrlvvCgC+6xh5AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoyMLDW1UdWVXnVdX5VfXMZfocUVUfrqpzq+rMRdcIALBRbV7kh1XVpiQvTfKTSbYk+UBVndZa+9hEn1sleVmSI1trF1bVPousEQBgI1v0yNvhSc5vrV3QWrs6yalJjp7q80tJ3thauzBJWmuXLLhGAIANa9Hhbb8kF0283jK2Tfr+JLeuqndW1Qer6lcWVh0AwAa30MOmSWpGW5t6vTnJvZI8OMlNk/xXVb2vtfbJG6yo6vgkxyfJnje9Va6+9R5rUO7GsOnqq9e7hDXTrr12vUsAgK4seuRtS5IDJl7vn+TiGX3e0lr7Zmvt0iTvSnKP6RW11k5qrR3aWjt09z33WrOCAQA2kkWHtw8kObiqDqqqPZIck+S0qT7/muR+VbW5qm6W5N5JPr7gOgEANqSFHjZtrW2tqqckOSPJpiQnt9bOraonjstPbK19vKrekuQjSa5L8srW2jmLrBMAYKNa9Dlvaa2dnuT0qbYTp17/WZI/W2RdAAA9cIcFAICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHdjq8VdVdquoRVXWH1SgIAIDlzRXequoVVXXixOtfTPLRJG9M8omq+tFVrg8AgAnzjrwdmeRdE69fkOR1Se6Q4X6lL1ilugAAmGHe8LZPkouSpKoOTnLnJH/aWvtikpOS3HN1ywMAYNK84e0rSfYdf/6JJF9srZ0zvq4km1arMAAAbmzznP3fnOT5VbVvkt9O8g8Ty+6e5LOrVBcAADPMO/L2W0nel+SJGc59e+7Esp9J8pZVqgsAgBnmGnlrrX0tyeOWWXa/VakIAIBlzRXeqmpzkk2ttasm2h6S5JAkZ7bWPrTK9QEAMGHec95en+Q7o29V9RtJXpTkqiSbquqRrbU3rWqFAAB8x7znvN0nyekTr5+R5C9aazdN8sokv7dahQEAcGPzhrfbJvliklTVD2aYnHfpjgv/mOHwKQAAa2Te8PalJAeOPx+Z5HOttU+Pr2+a5LpVqgsAgBnmPeftH5P8SVXdI8ljk7xkYtk9k3xqtQoDAODG5g1vz0zy9SSHJXl5kj+aWHavDBc0AACwRuad521rkucvs+yRq1IRAADLmvectyRJVR1VVc+pqpOq6o5j2/2r6g6rWx4AAJPmnaR33ySnZThE+tkkB2W42vTCDOfAXZnk11a3RAAAlsw78vbiJHslucv4qIllb0vy4FWqCwCAGea9YOHIJI9prZ1fVZumlm1Jst/qlAUAwCw7cs7btcu0753k2ztRCwAA2zFveHt3kl+fGnVr4/PjkrxjVaoCAGCmeQ+b/k6S9yQ5J8k/ZwhuT6iquye5e4Z7nwIAsEbmGnlrrZ2T4UrTs5Mcl+EQ6iOTXJTk3q21T652gQAAXG/ekbeM9zJ99BrUAgDAduzQJL0AAKyPuUfequrnMhwq3T/JTaaXt9YOX4W6AACYYd47LJyQ5LlJ/jfJx5JcvQY1AQCwjHlH3n41yR+31n53LYoBAGDb5j3n7RZJ3r4WhQAAsH3zhrdTM9wiCwCAdTDvYdO3J/mTqto7yVuTXD7dobV2+irUBQDADPOGt9ePzwcmecyM5S3J9A3rAQBYJfOGt4PWpAoAAFZkrvDWWvvcWhUCAMD2bTe8VdXN5llha+1bO14OAADbspKRtysynMu2Us55AwBYIysJb4/LfOENAIA1st3w1lo7ZQF1AACwAvNO0gsAwDqa98b0X852DqG21vbZqYoAAFjWvPO8vTQ3Dm+3SfKgJP8nyatWo6h57fbNq7LX+3fdWUy2XueUQwBgMO88byfMaq+qSvIPSbauQk0AACxjVc55a621JK9M8pTVWB8AALOt5gUL35tkj1VcHwAAU+a9YOFJM5r3SHLXJL+c5B9XoygAAGab94KFl8xouyrJliQvS/K8na4IAIBlzXvBgnnhAADW0XbDWFVdW1WHjz+fXFUHrX1ZAADMspKRtKtz/YUIxyW53ZpVAwDANq3ksOnHkpxQVf8yvv65qjp0mb6ttfbyVakMAIAbWUl4+/Ukr0jyVxnurvD0bfRtSYQ3AIA1st3Dpq21s1prP9ha2z1JJblPa223ZR6b1r5kAIDvXvNePfrADIdRAQBYB/NOFXJmklTVDyQ5LMntk3whydmttU+sfnkAAEya9w4Lt8hwD9OfzTBqd0WSvZJcV1VvTPL41trXV71KAACSzH/Y9OVJHpLkV5LcrLX2f5LcLMljkvxkhrssAACwRua9PdbRSZ7WWvv7pYbW2pVJXltVN0vyl6tZHAAANzTvyNsVGc5xm+XiJN/cuXIAANiWecPbS5M8vapuOtk4jro9PQ6bAgCsqXkPm94yycFJLqqqtya5JMk+Gc53+3aSs6vqT8e+rbX2O6tWKQAAc4e3n0tyzfi4z0T7NyaWL2lJhDcAgFU07zxvB61VIQAAbN+857wBALCOtjvyVlUPm2eFrbXTd7wcAAC2ZSWHTd+U4fy1WkHflsTN6QEA1shKwpvz3AAANojthrfW2ucWUQgAANs39wULVbVnVf1aVb2qqv6jqg4e23+xqu66+iUCALBkrqlCqur7k7w1w2S9H0xyRJJbjIvvl+ThGW5aDwDAGph35O1vklyY5MAkD80NL2I4M8mPr05ZAADMMu8dFu6X5Odba5dX1fRVpV9KcvvVKQsAgFnmHXm7MslNl1m2X5LLd6oaAAC2ad7w9tYkv1tVt5xoa1W1Z5JfT2KCXgCANTTvYdNnJHlvkvMzBLmW5LlJ7pZkjySPXNXqAAC4gblG3lprFyW5R5ITM1y08OkM57n9Y5J7tda+uNoFAgBwvXlH3tJa+2qS54wPAAAWaCU3pv9AhsOjK9JaO3ynKgIAYFkrGXk7NzcMb5VhIt43JblsLYoCAGC2ldzb9LjJ11W1OUN4O6G19j9rVBcAADPMfW/TzHEIFQCA1bUj4Q0AgHUivAEAdGRnwpvDpwAAC7aSqUK+nNlB7e1VtXW6sbW2z2oUBgDAja1kqpCXxigbAMCGsJKpQk5YQB0AAKyACxYAADoivAEAdER4AwDoiPAGANCRhYe3qjqyqs6rqvOr6pnb6HdYVV1bVT+3yPoAADayhYa3qtqUYeqRo5IckuTYqjpkmX5/kuSMRdYHALDRLXrk7fAk57fWLmitXZ3k1CRHz+j360n+KckliywOAGCjW3R42y/JRROvt4xt31FV+yX5mSQnLrAuAIAuLDq81Yy26bs3vCjJ77TWrt3miqqOr6qzq+rsq6/79mrVBwCwoa3k9liraUuSAyZe75/k4qk+hyY5taqSZO8kD6uqra21f5ns1Fo7KclJSXLLTXu39o0r1qpmAIANY9Hh7QNJDq6qg5J8PskxSX5pskNr7aCln6vqlCRvmg5uAADfrRYa3lprW6vqKRmuIt2U5OTW2rlV9cRxufPcAAC2YdEjb2mtnZ7k9Km2maGttXbcImoCAOiFOywAAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6Mjm9S5gVexWqT33XO8q1s43v7XeFQAAG4SRNwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjiw8vFXVkVV1XlWdX1XPnLH8l6vqI+PjrKq6x6JrBADYqBYa3qpqU5KXJjkqySFJjq2qQ6a6fSbJA1prP5TkBUlOWmSNAAAb2aJH3g5Pcn5r7YLW2tVJTk1y9GSH1tpZrbWvji/fl2T/BdcIALBhLTq87ZfkoonXW8a25fxqkjevaUUAAB3ZvODPqxltbWbHqgdmCG8/vszy45McnyQ32W2v1aoPAGBDW3R425LkgInX+ye5eLpTVf1QklcmOaq1dtmsFbXWTsp4PtwtN+3d2lVXrX61AAAbzKIPm34gycFVdVBV7ZHkmCSnTXaoqjsmeWOSR7fWPrng+gAANrSFjry11rZW1VOSnJFkU5KTW2vnVtUTx+UnJnluktsmeVlVJcnW1tqhi6wTAGCjWvRh07TWTk9y+lTbiRM/Pz7J4xddFwBAD9xhAQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHNq93AauiKtlj9/WuYu18c70LAAA2CiNvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdEd4AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbAEBHhDcAgI4IbwAAHRHeAAA6IrwBAHREeAMA6IjwBgDQEeENAKAjwhsAQEeENwCAjghvAAAdWXh4q6ojq+q8qjq/qp45Y3lV1d+Myz9SVT+y6BoBADaqhYa3qtqU5KVJjkpySJJjq+qQqW5HJTl4fByf5OWLrBEAYCNb9Mjb4UnOb61d0Fq7OsmpSY6e6nN0kte0wfuS3Kqqbr/gOgEANqRFh7f9klw08XrL2DZvHwCA70qbF/x5NaOt7UCfVNXxGQ6rJskVZ1z2f8/bydpY3t5JLl3vIlh19uuuxz7dNdmvu54f2Jk3Lzq8bUlywMTr/ZNcvAN90lo7KclJq10gN1ZVZ7fWDl3vOlhd9uuuxz7dNdmvu56qOntn3r/ow6YfSHJwVR1UVXskOSbJaVN9TkvyK+NVp/dJ8rXW2hcWXCcAwIa00JG31trWqnpKkjOSbEpycmvt3Kp64rj8xCSnJ3lYkvOTfCvJYxdZIwDARrbow6ZprZ2eIaBNtp048XNL8uRF18U2OTy9a7Jfdz326a7Jft317NQ+rSErAQDQA7fHAgDoiPDGDVTVAVX1n1X18ao6t6p+c2y/TVW9tao+NT7fer1rZT5VtamqPlRVbxpf26edq6pbVdUbquoT43+z97Vf+1ZVTxv/33tOVb2uqm5in/anqk6uqkuq6pyJtmX3Y1U9a7wt6HlV9dDtrV94Y9rWJL/VWrtrkvskefJ4C7NnJnl7a+3gJG8fX9OX30zy8YnX9mn//jrJW1prd0lyjwz7137tVFXtl+Q3khzaWrt7hgv7jol92qNTkhw51TZzP45/Y49JcrfxPS8bbye6LOGNG2itfaG19j/jz9/I8Mdgvwy3LXv12O3VSR6xLgWyQ6pq/yQPT/LKiWb7tGNV9X+S3D/Jq5KktXZ1a+3y2K+925zkplW1OcnNMsxzap92prX2riRfmWpebj8eneTU1tpVrbXPZJht4/BtrV94Y1lVdWCSeyb57yT7Ls23Nz7vs46lMb8XJfntJNdNtNmnffveJF9O8rfj4fBXVtXNY792q7X2+SR/nuTCJF/IMM/pf8Q+3VUstx/nvi2o8MZMVbVXkn9K8tTW2tfXux52XFX9VJJLWmsfXO9aWFWbk/xIkpe31u6Z5JtxOK1r4zlQRyc5KMkdkty8qh61vlWxACu6Legk4Y0bqardMwS317bW3jg2f6mqbj8uv32SS9arPub2Y0l+uqo+m+TUJA+qqr+Lfdq7LUm2tNb+e3z9hgxhzn7t108k+Uxr7cuttWuSvDHJj8Y+3VUstx9XdFvQScIbN1BVleEcmo+31v5yYtFpSR4z/vyYJP+66NrYMa21Z7XW9m+tHZjhpNh3tNYeFfu0a621Lya5qKqWbnD94CQfi/3aswuT3Keqbjb+v/jBGc47tk93Dcvtx9OSHFNVe1bVQUkOTvL+ba3IJL3cQFX9eJJ3J/lorj8/6ncznPf2D0numOF/MD/fWps+GZMNrqqOSPL01tpPVdVtY592rap+OMNFKHskuSDD7QR3i/3arap6XpJfzHDl/4eSPD7JXrFPu1JVr0tyRJK9k3wpye8n+Zcssx+r6veSPC7Dfn9qa+3N21y/8AYA0A+HTQEAOiK8AQB0RHgDAOiI8AYA0BHhDQCgI8IbsC6qqq3gccR21vELVXXcDn7+CVV16TaWv6SqLhsnrZ61/OlVde3SpJvb+ax9xs87cEdqBZgkvAHr5b4TjweNbS+cav+f7azjF5Ict0b1vS7JbZI8ZJnlxyR559K9CrdjnwzzPB24OqUB3802r3cBwHen1tr7ln4e76WbJJ+ebF9nZyX5XIaQ9u+TC6rqzknuleQJ61AX8F3OyBuwIVXVpvFQ44VVdVVVnVtVvzSx/JQkP5vkAROHWU8Ylz28qt5aVZdU1der6n1VtdwI2kxtmMH89UmOrqqbTC0+Jsk1Ge4BnKr64ap6e1V9q6q+WlWvrap9x2UHZrhjSZL851KtE9txm6p6RVV9qaqurKqzqureU7+LXx23/9tVdWlVnVlVd5tne4Bdh/AGbFTPT/J7SU5K8tNJ3pvktVV17Lj8BUn+M8MthJYOs75yXHZQkn9L8ugMAe+sJG+uqh+bs4bXJblFkodPtR+T5C2tta9W1e2SvDPJzZL8UpJfT/KAJG+tqj2SfCHJL4/ve/JEramqPZO8LclPJnlGkkck+XKSt1XV94x97p/kxCR/l+SoDLfQOSvJLefcFmAX4bApsOFU1W2SPDXJC1trLxybz6iq/ZOckOR1rbVPV9VXkuw2fai1tfaSiXXtliHk3S3Jr2YIgSvSWvtwVX08Q1hbGmW727iuPxi7/db4/NDW2tfHPp/McD/gn22tva6qPjL2+dhUrY9Kcvckd2utfWp879uSnDeu9xlJDk/ykdbaH02877SVbgOw6zHyBmxEd88wkvWPU+2vT/L9VbXPtt5cVftX1aur6vMZbvR8TYYLD75/B2o5NcnDJ87LOybJt3J9gDo8yX8sBbckaa29P8lnk/z4dtb9E0k+mOQzVbW5qpb+QX1mkkPHnz+c5J5V9VdVdf9xNA/4Lia8ARvR0vQbX5pqX3p96+XeOI60nZbkR5M8N8kDkxyW5M1Jps9dW4nXJblphkO3SfKLSU5rrX1zotbpOpdqvc121r13kvtkCJeTj8cmOSBJWmtvG1/fP8Ph2Uur6mVVdfMd2BZgF+CwKbARLU2/sU+Syyba9x2fv7KN9945yT2THNVae8tSY1XddEcKaa19qqo+mOSYqjovycFJnj5V66yRwH0zjKpty1eSnJ3k12Ysu2qihlcnefV4ft0jk/xVkq8neeZKtwPYdRh5AzaiczIcmvz5qfZfSPLJ1tqXx9dX58ajaUsh7Tvhp6rulGTeixUmvS7JQ5M8McnlSd4ysey/kzy0qm4x8XmHZZjT7T0TdWZGrW/PEDYvbK2dPfX46FTftNa+3Fp7RZJ3JzlkJ7YH6JiRN2DDaa19papelOTZVbU1w+jUI5M8LMmxE10/kWEqj0ck2ZLk4rFtS5K/qKrnZLha9HlJPr8TJb0+yZ9luODh5Nba1RPL/jLDyNkZVfUnSfZK8scZpgf5p7HPhUm+neQxVfW1JNe01s5O8poMgfCdVfXnSS5IctsM59F9sbX2V1X1vAyHX9+Z5NIMo4oPiFE3+K4lvAEb1XMzXGzwaxkOQZ6f5FGttVMn+rwsQ5g5OcN5cM9rrZ1QVY9M8tIkb8gQ5P4gyREZLoSYW2ttS1W9O8N5Z6dOLftyVT0wyV9kGKG7OsnpSZ62FPJaa1dW1RMy3GXhzCS7J6mx/YEZpkV53ridlyR5f66/IOIDSZ6W4UKJW2SYOPiEJH+9I9sC9K+GeSgBAOiBc94AADoivAEAdER4AwDoiPAGANAR4Q0AoCPCGwBAR4Q3AICOCG8AAB0R3gAAOvL/AwSaZHBnDB8LAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "ax.hist2d(df.total_votes, df.helpfulness)\n",
    "ax.set_title('Total Votes vs Helpfulness', fontsize= 20)\n",
    "ax.set_xlabel('Total Votes', fontsize= 15)\n",
    "ax.set_ylabel('Helpfulness', fontsize= 15)\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset is concentrated in the region of low number of votes and high helpfulness. We are not going to achieve an evenly helpfulness rating by filtering away anymore of our data so we can stop here. \n",
    "\n",
    "However, we are going to use random forest to perform a binary classification on this data and so it will benefit us to find a labeling (helpful, unhelpful) for each review in such a way that both classes are balanced in the number of entries. To achieve this we will select a high helpfulness rating standard. We found the rating of .87 or greater to be a good, balanced cutoff point. In the following code block we label our data with a new a new column \"helpful\" taking on values of either 0 or 1 indicating if a review is helpful or not. Percent distribution of the two cases is printed below. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    0.509814\n",
       "0    0.490186\n",
       "Name: helpful, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"helpful\"] = np.where(df[\"helpfulness\"] >= .87, 1, 0) \n",
    "df.helpful.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we map the binary helpful value of the review against some high level and meta traits to see if we can gain insight that may help guide our analysis. In the first plot we have a 2D histogram of review length vs helpful. The histogram is just two rows of blocks showing the density spread of the reviews on the given axis. Any discrepancy in colorization in the two rows will tell us if there is a correlation between the length of the review and whether it is considered helpful."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 2000.0, 0.0, 1.0)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['textLength'] = [len(df.loc[row, 'reviewText']) for row in df.index]\n",
    "fig, ax = plt.subplots(figsize = (10, 2))\n",
    "ax.hist2d(df.textLength, df.helpful, bins=(300, 2))\n",
    "ax.set_title('Review Length vs Helpful', fontsize= 20)\n",
    "ax.set_xlabel('Review Length (words)', fontsize= 15)\n",
    "ax.set_ylabel('Helpful', fontsize= 15)\n",
    "plt.yticks(range(0,2))\n",
    "plt.axis([0, 2000, 0, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the majority of reviews are centered around the 300 word count area for both helpful and non helpful reviews. Reviews labeled helpful do definitely do tend to be slightly longer than their unhelpful counterparts however. The difference is not huge but it is there.\n",
    "\n",
    "In the next bit of exploration we introduce the concept of \"readability\" through the textstat library. Readability is the measure of how complex a piece of text is. The higher the readability score a text gets, the higher the level of education necessary for proper comprehension. There are many different models for measuring readability of text and textstat implements a wide array of them. For this exploration we used Automated Readability Index (ARI). ARI uses an equation that relates the ratios of characters to words and words to sentences to assign a score that approximates a grade school level readability. \n",
    "\n",
    "After evaluating all of the review texts based on AIR we can see in the results that there is hardly any distinction in the histogram. Most reviews helpful and unhelpful fall under the same 6th to 9th grade readability level. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 20.0, 0.0, 1.0)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import textstat\n",
    "\n",
    "df['readability'] = [textstat.automated_readability_index(df.loc[row, 'reviewText']) for row in df.index]\n",
    "fig, ax = plt.subplots(figsize = (10, 2))\n",
    "ax.hist2d(df.readability, df.helpful, bins=(900, 2))\n",
    "ax.set_title('Helpful vs Readability Score', fontsize= 20)\n",
    "ax.set_xlabel('Readability (grade level)', fontsize= 15)\n",
    "ax.set_ylabel('Helpful', fontsize= 15)\n",
    "plt.yticks(range(0,2))\n",
    "plt.axis([0, 20, 0, 1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One more bit of exploration we will conduct is to compare the \"overall\" field of the review with helpful. Overall represents the out-of-five score that the reviewer issued to the product. \n",
    "\n",
    "This histogram has some interesting information. It shows that the vast majority of product reviews in our data are overwhelmingly positive toward their products. It seems that as with the helpful votes, people are by in large much more inclined to pass positive judgment rather than negative. It may also indicate that Amazon customers are generally very satisfied with their shopping experience. \n",
    "\n",
    "In any case, there is a discernible difference in the helpful and unhelpful spreads. Reviews considered more unhelpful tilt more towards unsatisfied reviewers. It seems that negative reviews attract unhelpful votes. Without considering too deeply the psychological or business analytics implications, one idea that we can come out with is this. Review text with language or vocabulary that lean positive or content may hold may have a definite correlation with toward helpful labeling, and vice versa. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (10, 2))\n",
    "ax.hist2d(df.overall, df.helpful, bins=(5, 2))\n",
    "\n",
    "ax.set_title('Overall vs Helpful', fontsize= 20)\n",
    "ax.set_xlabel('Overall', fontsize= 15)\n",
    "ax.set_ylabel('Helpful', fontsize= 15)\n",
    "plt.yticks(range(0,2))\n",
    "plt.xticks(range(1,6))\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One way we can investigate this conjecture is through sentiment analysis. Here \"sentiment\" refers to a measure of positivity/negativity of a text. The TextBlob library offers a basic sentiment evaluation implementation that we can use to label the review data. The sentiment rating is on a scale from -1 to 1, -1 signifying negative sentiment and 1 signifying positive. \n",
    "\n",
    "The results seem to mimic those of the \"overall\" exploration. Reviews labeled helpful do skew a bit more into the positive range, and reviews labeled unhelpful skew more negative. Both however are centered in just about the same place, right in the neutral/mildly positive region of around .2. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from textblob import TextBlob\n",
    "\n",
    "df['sentiment'] = [TextBlob(df.loc[row, 'reviewText']).sentiment.polarity for row in df.index]\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (10, 2))\n",
    "ax.hist2d(df.sentiment, df.helpful, bins=(15, 2))\n",
    "\n",
    "ax.set_title('Sentiment vs Helpful', fontsize= 20)\n",
    "ax.set_xlabel('Sentiment (polarity)', fontsize= 15)\n",
    "ax.set_ylabel('Helpful', fontsize= 15)\n",
    "plt.yticks(range(0,2))\n",
    "plt.xticks(range(-1,1))\n",
    "plt.show();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Random Forest"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As mentioned, we are attempting a binary classification through random forest. We have already properly labeled our reviews as either helpful or not. The next bit is to train a random forest with a portion of our data called the training set so that it may make accurate predictions the leftover portion of the data called the test set. We will split the data into the two sets by an 80-20 split training-test. In the following code block we perform the dataset split. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1    0.509595\n",
      "0    0.490405\n",
      "Name: helpful, dtype: float64\n",
      "1    0.510691\n",
      "0    0.489309\n",
      "Name: helpful, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x = df['reviewText']\n",
    "y = df['helpful']\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=.2, random_state = 100)\n",
    "\n",
    "print(y_train.value_counts(normalize=True))\n",
    "print(y_test.value_counts(normalize=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The other important part of random forest modeling is features. Features are what the random forest algorithm uses to classify the data. As we have committed to only using the review text itself, we will have to generate features from it. That is where Count vectors comes in. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Count Vectors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Vector counts are specialized way of counting the frequencies of words and producing features of texts based on those word counts. One of the most important aspects of a vector count is the stop list. This is simply a list of words which we choose to ignore when creating our count vectors. Here we set up a stop list of common conjunctive words such as \"and\" and \"the\" and punctuation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\Ed\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords\n",
    "import string\n",
    "\n",
    "stop_list = stopwords.words('english')\n",
    "stop_list += list(string.punctuation)\n",
    "stop_list += ['br', '.<', '..', '...', '``', \"''\", '--']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At this point we are ready to train our random forest through count vector. Here we create the random forest classifier using n_estimators value of 100 meaning using 100 decision trees and an n_jobs argument of -1 which means to utilize all available processors (very useful). The training accuracy of the classifier comes out to about 60 percent which is not amazing but definitely better than guessing classifications at random. Maybe there are ways we can do better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline(steps=[('vectorizer',\n",
       "                 CountVectorizer(max_features=300,\n",
       "                                 stop_words=['i', 'me', 'my', 'myself', 'we',\n",
       "                                             'our', 'ours', 'ourselves', 'you',\n",
       "                                             \"you're\", \"you've\", \"you'll\",\n",
       "                                             \"you'd\", 'your', 'yours',\n",
       "                                             'yourself', 'yourselves', 'he',\n",
       "                                             'him', 'his', 'himself', 'she',\n",
       "                                             \"she's\", 'her', 'hers', 'herself',\n",
       "                                             'it', \"it's\", 'its', 'itself', ...])),\n",
       "                ('forest', RandomForestClassifier(n_jobs=-1))])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n",
    "\n",
    "pipe_rf = Pipeline([('vectorizer', CountVectorizer(stop_words = stop_list,\n",
    "                                                          max_features = 300)),\n",
    "                        ('forest', RandomForestClassifier(n_estimators=100,\n",
    "                                                          n_jobs=-1))])\n",
    "pipe_rf.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training accuracy: 0.5994096058720281\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report\n",
    "\n",
    "y_pred_train = pipe_rf.predict(X_test)\n",
    "print('Training accuracy:', accuracy_score(y_test, y_pred_train))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vector Count Split"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see if we can get better results by building the random forest classifiers separately on each of the four categories. After all, each review category may have its own lexicon and appreciable descriptions. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def vector_forest(df):\n",
    "    x = df['reviewText']\n",
    "    y = df['helpful']\n",
    "    X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=.2, random_state = 100)\n",
    "    train_test_split(x, y, test_size=.2, random_state = 100)\n",
    "    print(y_train.value_counts(normalize=True))\n",
    "    print(y_test.value_counts(normalize=True))\n",
    "\n",
    "    pipe_rf = Pipeline([('vectorizer', CountVectorizer(stop_words = stop_list, \n",
    "                                                              max_features = 300)),\n",
    "                            ('forest', RandomForestClassifier(n_estimators=100,\n",
    "                                                              n_jobs=-1))])\n",
    "    pipe_rf.fit(X_train, y_train)\n",
    "\n",
    "    y_pred_train = pipe_rf.predict(X_test)\n",
    "    print('Training accuracy:', accuracy_score(y_test, y_pred_train))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hardware: \n",
      "18325\n",
      "1    0.518254\n",
      "0    0.481746\n",
      "Name: helpful, dtype: float64\n",
      "\n",
      "Beauty: \n",
      "19070\n",
      "0    0.500682\n",
      "1    0.499318\n",
      "Name: helpful, dtype: float64\n",
      "\n",
      "Games: \n",
      "15549\n",
      "1    0.504727\n",
      "0    0.495273\n",
      "Name: helpful, dtype: float64\n",
      "\n",
      "Pets: \n",
      "9722\n",
      "0    0.508537\n",
      "1    0.491463\n",
      "Name: helpful, dtype: float64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Hardware: \")\n",
    "dfHardware = df[df.category==\"Hardware\"].copy()\n",
    "dfHardware[\"helpful\"] = np.where(dfHardware[\"helpfulness\"] >= .89, 1, 0) \n",
    "dfHardware.helpful.value_counts(normalize=True)\n",
    "print(len(dfHardware))\n",
    "print(dfHardware.helpful.value_counts(normalize=True))\n",
    "print()\n",
    "\n",
    "print(\"Beauty: \")\n",
    "dfBeauty = df[df.category==\"Beauty\"].copy()\n",
    "dfBeauty[\"helpful\"] = np.where(dfBeauty[\"helpfulness\"] >= .82, 1, 0) \n",
    "dfBeauty.helpful.value_counts(normalize=True)\n",
    "print(len(dfBeauty))\n",
    "print(dfBeauty.helpful.value_counts(normalize=True))\n",
    "print()\n",
    "\n",
    "print(\"Games: \")\n",
    "dfGames = df[df.category==\"Games\"].copy()\n",
    "dfGames[\"helpful\"] = np.where(dfGames[\"helpfulness\"] >= .88, 1, 0) \n",
    "dfGames.helpful.value_counts(normalize=True)\n",
    "print(len(dfGames))\n",
    "print(dfGames.helpful.value_counts(normalize=True))\n",
    "print()\n",
    "\n",
    "print(\"Pets: \")\n",
    "dfPets = df[df.category==\"Pets\"].copy()\n",
    "dfPets[\"helpful\"] = np.where(dfPets[\"helpfulness\"] >= .92, 1, 0) \n",
    "dfPets.helpful.value_counts(normalize=True)\n",
    "print(len(dfPets))\n",
    "print(dfPets.helpful.value_counts(normalize=True))\n",
    "print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this final step we run the four separate random forest classifiers. Unfortunately, the results trend downward in all four cases. The predictive power of sum is better than its parts. There is one more idea we can try though."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hardware:\n",
      "1    0.518963\n",
      "0    0.481037\n",
      "Name: helpful, dtype: float64\n",
      "1    0.515416\n",
      "0    0.484584\n",
      "Name: helpful, dtype: float64\n",
      "Training accuracy: 0.5784447476125512\n",
      "\n",
      "Beauty:\n",
      "0    0.500459\n",
      "1    0.499541\n",
      "Name: helpful, dtype: float64\n",
      "0    0.501573\n",
      "1    0.498427\n",
      "Name: helpful, dtype: float64\n",
      "Training accuracy: 0.583114840062926\n",
      "\n",
      "Games:\n",
      "1    0.50816\n",
      "0    0.49184\n",
      "Name: helpful, dtype: float64\n",
      "0    0.509003\n",
      "1    0.490997\n",
      "Name: helpful, dtype: float64\n",
      "Training accuracy: 0.5768488745980708\n",
      "\n",
      "Pets:\n",
      "0    0.505593\n",
      "1    0.494407\n",
      "Name: helpful, dtype: float64\n",
      "0    0.520308\n",
      "1    0.479692\n",
      "Name: helpful, dtype: float64\n",
      "Training accuracy: 0.5876606683804627\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"Hardware:\")\n",
    "vector_forest(dfHardware)\n",
    "print()\n",
    "\n",
    "print(\"Beauty:\")\n",
    "vector_forest(dfBeauty)\n",
    "print()\n",
    "\n",
    "print(\"Games:\")\n",
    "vector_forest(dfGames)\n",
    "print()\n",
    "\n",
    "print(\"Pets:\")\n",
    "vector_forest(dfPets)\n",
    "print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Count Vector Descriptive"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this final attempt we are going try to only count-vectorize on words that are descriptive in nature. For our purposes that will mean words that are classified as either adjectives or adverbs. A good review may after make good usage of descriptive language. We had a couple ideas about how to do this but neither did very well. The first had a running time that was too long and the second, yielded another suboptimal result and a fat userwarning having to do with word normalization (that is, having to do with setting words to a normalized tense). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#First idea, adding entry to reviews with all descriptive words\n",
    "\n",
    "# def get_adjectives(text):\n",
    "#     blob = TextBlob(text)\n",
    "#     return [ word for (word,tag) in blob.tags if (tag.startswith(\"JJ\") or tag.startswith(\"RB\"))]\n",
    "\n",
    "# dfDescriptors = df['reviewText'].apply(get_adjectives)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package words to\n",
      "[nltk_data]     C:\\Users\\Ed\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package words is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "191440"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('words')\n",
    "from nltk.corpus import words\n",
    "\n",
    "all_words = words.words()\n",
    "non_descriptive_words = []\n",
    "for word in all_words:\n",
    "    blob = TextBlob(word)\n",
    "    word, tag = blob.tags[0]\n",
    "    if(not (tag.startswith(\"JJ\") or tag.startswith(\"RB\"))):\n",
    "        non_descriptive_words.append(word)\n",
    "\n",
    "len(non_descriptive_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Ed\\anaconda3\\lib\\site-packages\\sklearn\\feature_extraction\\text.py:383: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['aani', 'aaron', 'aaronite', 'aaru', 'ab', 'ababdeh', 'ababua', 'abadite', 'abama', 'abantes', 'abarambo', 'abaris', 'abasgi', 'abassin', 'abatua', 'abba', 'abbie', 'abby', 'abderite', 'abdiel', 'abdominales', 'abe', 'abel', 'abelia', 'abelicea', 'abencerrages', 'aberdeen', 'aberia', 'abhorson', 'abie', 'abies', 'abietineae', 'abiezer', 'abipon', 'abitibi', 'abkhas', 'ablepharus', 'abnaki', 'abner', 'abo', 'abobra', 'abongo', 'abraham', 'abrahamic', 'abrahamidae', 'abrahamite', 'abram', 'abramis', 'abranchiata', 'abrocoma', 'abroma', 'abronia', 'abrus', 'absalom', 'absaroka', 'absi', 'absyrtus', 'abundantia', 'abuta', 'abutilon', 'acacia', 'academic', 'academus', 'acadia', 'acadie', 'acaena', 'acalepha', 'acalephae', 'acalypha', 'acalypterae', 'acalyptrata', 'acalyptratae', 'acamar', 'acanthaceae', 'acantharia', 'acanthia', 'acanthocephala', 'acanthocephali', 'acanthocereus', 'acanthodea', 'acanthodei', 'acanthodes', 'acanthodidae', 'acanthodii', 'acanthodini', 'acantholimon', 'acanthomeridae', 'acanthopanax', 'acanthophis', 'acanthopteri', 'acanthopterygii', 'acanthuridae', 'acanthurus', 'acarapis', 'acarida', 'acaridea', 'acarina', 'acarus', 'acastus', 'accipiter', 'accipitres', 'aceldama', 'acemetae', 'acephala', 'acephali', 'acephalina', 'acephalite', 'acer', 'aceraceae', 'acerae', 'acerata', 'acerates', 'aceratherium', 'acerbas', 'acestes', 'acetabularia', 'acetobacter', 'achaean', 'achaemenid', 'achaemenidae', 'achaenodon', 'achaeta', 'achagua', 'achakzai', 'achamoth', 'achango', 'achariaceae', 'achates', 'achatina', 'achatinella', 'achatinidae', 'achen', 'achernar', 'achetidae', 'acheulean', 'achillea', 'achillean', 'achilleid', 'achillize', 'achimenes', 'achitophel', 'achlamydeae', 'achmetha', 'acholoe', 'achomawi', 'achordata', 'achorion', 'achras', 'achroanthes', 'achromatiaceae', 'achromatium', 'achromobacter', 'achromobacterieae', 'achuas', 'achyranthes', 'achyrodes', 'acidanthera', 'acidaspis', 'acilius', 'acineta', 'acinetae', 'acinetaria', 'acinetina', 'acipenser', 'acipenseres', 'acipenseridae', 'acipenseroidei', 'acis', 'aclemon', 'acmaea', 'acmaeidae', 'acmispon', 'acnida', 'acocanthera', 'acoela', 'acoelomata', 'acoelomi', 'acoemetae', 'acoemeti', 'acolapissa', 'acolhua', 'acolhuan', 'aconitum', 'acontias', 'acontius', 'acorus', 'acousticon', 'acrab', 'acraeinae', 'acrania', 'acrasiaceae', 'acrasiales', 'acrasida', 'acrasieae', 'acraspeda', 'acredula', 'acrididae', 'acridiidae', 'acridium', 'acrisius', 'acrita', 'acroa', 'acrobates', 'acrocarpi', 'acrocera', 'acroceratidae', 'acroceridae', 'acrochordidae', 'acrochordinae', 'acroclinium', 'acrocomia', 'acrodus', 'acromyodi', 'acronycta', 'acropora', 'acrosticheae', 'acrostichum', 'acrothoracica', 'acrotreta', 'acrotretidae', 'acrux', 'acrydium', 'actaea', 'actaeaceae', 'actaeon', 'actaeonidae', 'actiad', 'actinia', 'actiniaria', 'actinidia', 'actinidiaceae', 'actiniomorpha', 'actinistia', 'actinobacillus', 'actinocrinidae', 'actinocrinus', 'actinoida', 'actinoidea', 'actinomyces', 'actinomycetaceae', 'actinomycetales', 'actinomyxidia', 'actinomyxidiida', 'actinonema', 'actinophrys', 'actinopoda', 'actinopteri', 'actinopterygii', 'actinosphaerium', 'actinozoa', 'actipylea', 'actium', 'acts', 'acuan', 'acubens', 'aculeata', 'acutilinguae', 'ada', 'adai', 'adaize', 'adam', 'adamastor', 'adamhood', 'adamic', 'adamitism', 'adamsia', 'adansonia', 'adapa', 'adapis', 'adar', 'addie', 'addisoniana', 'addressograph', 'addu', 'addy', 'adela', 'adelarthra', 'adelarthrosomata', 'adelbert', 'adelea', 'adeleidae', 'adelges', 'adelia', 'adelina', 'adeline', 'adeliza', 'adelochorda', 'adelops', 'adelphi', 'adelphoi', 'adenanthera', 'adenophora', 'adenostoma', 'adeodatus', 'adeona', 'adephaga', 'adhafera', 'adhara', 'adiantum', 'adib', 'adicea', 'adiel', 'adigei', 'adighe', 'adin', 'adinida', 'adirondack', 'adlai', 'adlumia', 'adolph', 'adonai', 'adonean', 'adonia', 'adoniad', 'adoniram', 'adonis', 'adorantes', 'adoretus', 'adoxa', 'adoxaceae', 'adramelech', 'adrammelech', 'adrenalin', 'adriana', 'adrienne', 'adullam', 'adullamite', 'advaita', 'advent', 'adventism', 'adventist', 'aeacides', 'aeacus', 'aeaean', 'aechmophorus', 'aecidiaceae', 'aecidiomycetes', 'aedes', 'aegean', 'aegeriidae', 'aegialitis', 'aegina', 'aeginetan', 'aegipan', 'aegithalos', 'aegithognathae', 'aegle', 'aegopodium', 'aeluroidea', 'aeolia', 'aeolicism', 'aeolidae', 'aeolididae', 'aeolis', 'aeolism', 'aeolist', 'aepyceros', 'aepyornis', 'aepyornithidae', 'aepyornithiformes', 'aequi', 'aequiculi', 'aequipalpia', 'aerides', 'aerobacter', 'aerobranchia', 'aerocharidae', 'aerope', 'aeschylean', 'aeschynomene', 'aesculaceae', 'aesculapius', 'aesculus', 'aesopic', 'aestii', 'aethionema', 'aethusa', 'aetobatidae', 'aetobatus', 'aetomorphae', 'aetosaurus', 'afenil', 'afghan', 'afifi', 'afrasia', 'africana', 'africanism', 'africanist', 'africanization', 'africanize', 'africanoid', 'africanthropus', 'afridi', 'afrikaans', 'afrikander', 'afrikanderdom', 'afrikanderism', 'afrikaner', 'afrogaea', 'afrogaean', 'afshah', 'afshar', 'afzelia', 'agaces', 'agade', 'agag', 'agalena', 'agalenidae', 'agalinis', 'agamae', 'agamemnon', 'agamidae', 'aganice', 'aganippe', 'agao', 'agaonidae', 'agapemone', 'agapemonist', 'agapemonite', 'agapetidae', 'agapornis', 'agaricales', 'agaricus', 'agaristidae', 'agarum', 'agastache', 'agastreae', 'agatha', 'agathaea', 'agathaumas', 'agathis', 'agathosma', 'agau', 'agave', 'agawam', 'agaz', 'agdistis', 'agelacrinites', 'agelacrinitidae', 'agelaius', 'agelaus', 'agena', 'ageratum', 'aggie', 'aggregata', 'aggregatae', 'aghan', 'aghlabite', 'aghorapanthi', 'aghori', 'agialid', 'agib', 'agiel', 'agkistrodon', 'aglaia', 'aglaonema', 'aglaos', 'aglaspis', 'aglauros', 'aglipayan', 'aglipayano', 'aglossa', 'aglypha', 'aglyphodonta', 'aglyphodontia', 'agnatha', 'agnathostomata', 'agnes', 'agnoetae', 'agnoete', 'agnoetism', 'agnoite', 'agnostus', 'agnotozoic', 'agoniatites', 'agonista', 'agonostomus', 'agra', 'agrania', 'agrapha', 'agrauleum', 'agrilus', 'agrimonia', 'agriochoeridae', 'agriochoerus', 'agrionia', 'agrionidae', 'agriotes', 'agriotypidae', 'agriotypus', 'agromyza', 'agromyzidae', 'agropyron', 'agrostemma', 'agrostis', 'agrotis', 'aguacateca', 'agudist', 'agyieus', 'ahantchuyuk', 'ahepatokla', 'ahet', 'ahir', 'ahmadiya', 'ahmed', 'ahmet', 'ahnfeltia', 'ahom', 'ahousaht', 'ahrendahronon', 'ahriman', 'aht', 'ahtena', 'aias', 'aidenn', 'aides', 'aigialosauridae', 'aigialosaurus', 'aileen', 'ailie', 'ailuridae', 'ailuroidea', 'ailuropoda', 'ailuropus', 'ailurus', 'aimak', 'aimee', 'ainu', 'aira', 'aissaoua', 'aissor', 'aistopoda', 'aistopodes', 'aitkenite', 'aix', 'aizoaceae', 'aizoon', 'ajatasatru', 'ajuga', 'akal', 'akali', 'akamnik', 'akan', 'akanekunik', 'akania', 'akaniaceae', 'akawai', 'akebia', 'akha', 'akhissar', 'akhlame', 'akhmimic', 'akim', 'akiskemikinik', 'akiyenik', 'akka', 'akkad', 'akkadist', 'akontae', 'akoulalion', 'akrabattine', 'aktistetae', 'aktistete', 'aktivismus', 'aktivist', 'akwapim', 'alabama', 'alabaman', 'alactaga', 'aladdin', 'aladdinize', 'aladfar', 'aladinist', 'alain', 'alaki', 'alamanni', 'alangiaceae', 'alangium', 'alans', 'alarbus', 'alaria', 'alaska', 'alaskan', 'alastair', 'alaster', 'alauda', 'alaudidae', 'alawi', 'albainn', 'albanenses', 'albania', 'albany', 'albatros', 'alberene', 'albert', 'alberta', 'albertina', 'albertine', 'albertist', 'alberto', 'albi', 'albigenses', 'albigensianism', 'albin', 'albion', 'albireo', 'albizzia', 'albococcus', 'alboin', 'albrecht', 'albright', 'albruna', 'albuca', 'albuginaceae', 'albyn', 'alca', 'alcaaba', 'alcae', 'alcaic', 'alcaligenes', 'alcalzar', 'alcantara', 'alcantarines', 'alcedines', 'alcedinidae', 'alcedininae', 'alcedo', 'alces', 'alchemilla', 'alchornea', 'alcibiadean', 'alcicornium', 'alcidae', 'alcippe', 'alcor', 'alcoran', 'alcoranist', 'alcotate', 'alcyonacea', 'alcyonaria', 'alcyone', 'alcyones', 'alcyoniaceae', 'alcyonium', 'aldebaran', 'alderamin', 'alderney', 'aldhafara', 'aldhafera', 'aldrovanda', 'aldus', 'alea', 'alebion', 'aleck', 'alectorides', 'alectoris', 'alectoromorphae', 'alectoropodes', 'alectrion', 'alectrionidae', 'alectryon', 'alejandro', 'alemanni', 'alencon', 'aleochara', 'aleppine', 'aleppo', 'alethea', 'aletris', 'aleurites', 'aleurobius', 'aleurodes', 'aleurodidae', 'aleut', 'alex', 'alexander', 'alexandra', 'alexandreid', 'alexandrianism', 'alexandrina', 'alexandrine', 'alexas', 'alexis', 'alexius', 'aleyrodes', 'aleyrodidae', 'alfirk', 'alfred', 'alfreda', 'alfur', 'alfuro', 'algaroth', 'algarsife', 'algarsyf', 'algebar', 'algedi', 'algenib', 'algernon', 'algieba', 'algol', 'algoman', 'algomic', 'algonquin', 'algorab', 'algores', 'algy', 'alhagi', 'alhambra', 'alhambraic', 'alhambresque', 'alhena', 'alibamu', 'alicant', 'alice', 'alichino', 'alicia', 'alick', 'alida', 'alids', 'alikuluf', 'alikulufan', 'aline', 'alioth', 'alisma', 'alismaceae', 'alismales', 'alismataceae', 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'bacteroides', 'bactris', 'bactrites', 'baculites', 'badaga', 'badawi', 'badon', 'baduhenna', 'baedeker', 'baeria', 'bafyot', 'baganda', 'bagaudae', 'bagdad', 'bagdi', 'baggara', 'bagheli', 'baginda', 'bagirmi', 'bagobo', 'bahai', 'bahaism', 'bahaist', 'baham', 'bahama', 'bahaullah', 'bahima', 'bahmani', 'bahmanid', 'bahuma', 'bahutu', 'baianism', 'baidya', 'baiera', 'baillonella', 'baining', 'bairam', 'bais', 'baisakh', 'bajardo', 'bajau', 'bakairi', 'bakalai', 'bakalei', 'bakatan', 'bakhtiari', 'bakongo', 'bakuba', 'bakunda', 'bakuninism', 'bakuninist', 'bakutu', 'bakwiri', 'bala', 'balaam', 'balaamite', 'balaena', 'balaenicipites', 'balaenidae', 'balaenoidea', 'balaenoptera', 'balaenopteridae', 'balaic', 'balak', 'balaklava', 'balan', 'balanidae', 'balanites', 'balanoglossida', 'balanoglossus', 'balanophora', 'balanophoraceae', 'balanops', 'balanopsidaceae', 'balanopsidales', 'balanta', 'balante', 'balantidium', 'balanus', 'balarama', 'balawa', 'balawu', 'baldie', 'baldwin', 'balearic', 'balearica', 'balija', 'balilla', 'balistes', 'balistidae', 'balkan', 'balkanization', 'balkanize', 'balkar', 'balkis', 'ballhausplatz', 'ballistite', 'ballota', 'ballplatz', 'balmarcodes', 'balmawhapple', 'balnibarbi', 'baloch', 'baloghia', 'balolo', 'balopticon', 'balor', 'baloskion', 'baloskionaceae', 'balsamea', 'balsameaceae', 'balsaminaceae', 'balsamodendron', 'balsamorrhiza', 'balt', 'balthasar', 'balti', 'baltimore', 'baltimorean', 'baltis', 'baluba', 'baluchi', 'baluchistan', 'baluga', 'balunda', 'bamalip', 'bamangwato', 'bambara', 'bambos', 'bambuba', 'bambusa', 'bambuseae', 'bambute', 'bana', 'bananaland', 'bananalander', 'banande', 'banate', 'banba', 'banbury', 'banderma', 'bandhor', 'bandor', 'bandusia', 'banff', 'bangala', 'bangash', 'bangia', 'bangiaceae', 'bangiales', 'bangwaketsi', 'baniva', 'bankalachi', 'banksia', 'bannockburn', 'bantingism', 'bantoid', 'bantu', 'banyai', 'banyoro', 'banyuls', 'baphia', 'baphomet', 'baptanodon', 'baptisia', 'baptist', 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'basoko', 'basommatophora', 'basongo', 'bassa', 'bassalia', 'bassaris', 'bassariscus', 'bassia', 'bastaard', 'basuto', 'batak', 'batan', 'batatas', 'batavi', 'batekes', 'batetela', 'bathala', 'batidaceae', 'batis', 'batocrinidae', 'batocrinus', 'batodendron', 'batoidei', 'batoka', 'batonga', 'batrachia', 'batrachidae', 'batrachium', 'batrachoididae', 'batrachophidia', 'batrachospermum', 'battak', 'battakhin', 'batussi', 'batwa', 'baubo', 'bauera', 'bauhinia', 'baume', 'baure', 'bavius', 'bawra', 'baxterianism', 'bayogoula', 'bazigar', 'bdellidae', 'bdelloida', 'bdellostoma', 'bdellostomatidae', 'bdellostomidae', 'bdelloura', 'bdellouridae', 'bea', 'bealtine', 'bealtuinn', 'beatrice', 'beatrix', 'beauclerc', 'beaufort', 'beaujolais', 'beaumontia', 'beaune', 'beaverkill', 'bechtler', 'bechuana', 'beckie', 'becky', 'bedford', 'bedlamic', 'bedouin', 'bedouinism', 'beekmantown', 'beelzebub', 'beelzebul', 'beerothite', 'beggiatoa', 'beggiatoaceae', 'beghard', 'begoniaceae', 'begoniales', 'beguin', 'beid', 'beja', 'belait', 'belaites', 'belamcanda', 'belemnites', 'belemnitidae', 'belemnoidea', 'belgae', 'belgic', 'belgophile', 'belgrade', 'belgravia', 'belialic', 'belialist', 'belili', 'belinda', 'belinuridae', 'belinurus', 'belis', 'bella', 'bellabella', 'bellacoola', 'bellatrix', 'belleek', 'bellerophon', 'bellerophontidae', 'bellis', 'bellona', 'bellovaci', 'belone', 'belonidae', 'belostoma', 'belostomatidae', 'belostomidae', 'belshazzar', 'belshazzaresque', 'beltane', 'beltene', 'beltir', 'beltis', 'beluchi', 'belucki', 'bemba', 'bembecidae', 'bembex', 'benacus', 'benedicta', 'benedictine', 'benedictinism', 'benedictus', 'benelux', 'benetnasch', 'beneventan', 'beneventana', 'bengal', 'bengali', 'bengalic', 'bengola', 'benin', 'benincasa', 'benjamite', 'benkulen', 'bennettitaceae', 'bennettitales', 'bennettites', 'benson', 'benthamic', 'benthamism', 'benthamite', 'bentincks', 'benton', 'benu', 'benzedrine', 'beothuk', 'beothukan', 'beowulf', 'bepaint', 'berber', 'berberi', 'berberidaceae', 'berberis', 'berchemia', 'berchta', 'berean', 'berengaria', 'berengarianism', 'berenice', 'bereshith', 'bergama', 'bergamask', 'bergamo', 'bergsonism', 'beri', 'berkeleianism', 'berkeleyism', 'berkeleyite', 'berkshire', 'berliner', 'berlinize', 'bermuda', 'bern', 'bernard', 'bernardina', 'bernardine', 'bernice', 'bernicia', 'bernie', 'berninesque', 'beroe', 'beroida', 'beroidae', 'berossos', 'bersiamite', 'bersil', 'bert', 'bertat', 'berteroa', 'bertha', 'berthold', 'bertholletia', 'bertie', 'bertolonia', 'bertrand', 'berycidae', 'berycoidea', 'berycoidei', 'berycomorphi', 'berytidae', 'beryx', 'bess', 'bessera', 'bessi', 'bessie', 'bessy', 'betelgeuse', 'bethesda', 'bethlehem', 'bethlehemite', 'bethuel', 'bethylidae', 'betonica', 'betoya', 'betoyan', 'betsey', 'betsileos', 'betsimisaraka', 'betsy', 'betta', 'bettina', 'bettine', 'bettongia', 'betula', 'betulaceae', 'betulites', 'beulah', 'bezaleel', 'bezpopovets', 'bhadon', 'bhaga', 'bhar', 'bharata', 'bhavani', 'bhil', 'bhili', 'bhima', 'bhojpuri', 'bhotia', 'bhotiya', 'bhowani', 'bhumij', 'bhutani', 'bhutia', 'bianca', 'bianchi', 'bibio', 'bibionidae', 'biblic', 'biblicality', 'biblicism', 'biblicist', 'biblicolegal', 'biblism', 'biblist', 'bibulus', 'biddulphia', 'biddulphiaceae', 'bidens', 'bidpai', 'biedermeier', 'bielid', 'bielorouss', 'bignonia', 'bignoniaceae', 'bihai', 'biham', 'bihari', 'bikol', 'bikram', 'bikukulla', 'bilaan', 'bilati', 'bilharzia', 'bilin', 'billbergia', 'billie', 'billiken', 'billjim', 'biloculina', 'biloxi', 'bilskirnir', 'bim', 'bimana', 'bimbisara', 'bimini', 'bimmeler', 'bini', 'binitarianism', 'binzuru', 'bipaliidae', 'bipalium', 'bipont', 'bipontine', 'birgus', 'birkenhead', 'birkenia', 'birkeniidae', 'birmingham', 'birminghamize', 'biron', 'bisaltae', 'biscanism', 'biscayan', 'biscayanism', 'biscayner', 'bishareen', 'bishari', 'bisharin', 'bisley', 'bismarck', 'bismarckianism', 'bismosol', 'bistorta', 'bitis', 'bittium', 'bivalvia', 'bixa', 'bixaceae', 'bizen', 'bizonia', 'bjorne', 'blackbeard', 'blackfeet', 'blackfriars', 'blackhander', 'blaine', 'blandfordia', 'blankit', 'blarina', 'blasia', 'blastoidea', 'blastomyces', 'blastomycetes', 'blastophaga', 'blattariae', 'blattidae', 'blattodea', 'blattoidea', 'blaugas', 'blayne', 'blechnum', 'blemmyes', 'blenniidae', 'blenniiformes', 'blennioidea', 'blephariglottis', 'blepharocera', 'blepharoceridae', 'blephillia', 'bletia', 'bletilla', 'blighia', 'blitum', 'bloomeria', 'bloomsbury', 'bluebeardism', 'bluenoser', 'blumea', 'boaedon', 'boanbura', 'boanerges', 'bobadil', 'bobadilism', 'bobbie', 'bobbinite', 'bocconia', 'boche', 'bochism', 'bodo', 'bodoni', 'boebera', 'boedromion', 'boehmenism', 'boehmenist', 'boehmenite', 'boehmeria', 'boer', 'boerdom', 'boerhavia', 'bogijiab', 'bogomil', 'bogomile', 'bogota', 'bohairic', 'bohemia', 'bohemianism', 'boidae', 'boii', 'boiko', 'bois', 'bokhara', 'bokharan', 'bolag', 'bolboxalis', 'boldu', 'bolelia', 'boletaceae', 'boletus', 'bollandist', 'bologna', 'bolognan', 'boloism', 'bolshevik', 'bolsheviki', 'bolshevism', 'bolshevist', 'bolshevize', 'bolshie', 'boltonia', 'bomarea', 'bombacaceae', 'bombax', 'bombay', 'bombidae', 'bombinae', 'bombus', 'bombycidae', 'bombycilla', 'bombycillidae', 'bombycina', 'bombyliidae', 'bombyx', 'bonapartean', 'bonapartism', 'bonapartist', 'bonasa', 'bonaveria', 'bonbo', 'bondelswarts', 'bonellia', 'boney', 'boni', 'boniface', 'bonnie', 'bontok', 'boone', 'boophilus', 'bootes', 'bootid', 'bopyridae', 'bopyrus', 'boraginaceae', 'borago', 'boran', 'borana', 'borani', 'borassus', 'borboridae', 'borborus', 'bordeaux', 'borderies', 'borderside', 'boreades', 'boreas', 'boreiad', 'boreus', 'borinqueno', 'boris', 'bornean', 'borneo', 'borocaine', 'boronia', 'bororo', 'bororoan', 'borrelia', 'borrelomycetaceae', 'borreria', 'borrichia', 'borromean', 'boruca', 'borzicactus', 'bos', 'bosc', 'boschneger', 'boselaphus', 'boshas', 'bosniac', 'bosniak', 'bosnisch', 'bosporan', 'bostrychidae', 'boswellia', 'boswelliana', 'boswellism', 'boswellize', 'botaurinae', 'botaurus', 'botein', 'bothriocephalus', 'bothriocidaris', 'bothriolepis', 'bothrodendron', 'bothrops', 'botocudo', 'botrychium', 'botrydium', 'botryllidae', 'botryllus', 'botryomyces', 'botryopteriaceae', 'botryopteris', 'botrytis', 'bougainvillaea', 'bougainvillea', 'bougainvillia', 'bougainvilliidae', 'boulangism', 'boulangist', 'bourbonesque', 'bourbonism', 'bourbonist', 'bourignianism', 'bourignianist', 'bourignonism', 'bourignonist', 'bourout', 'boussingaultia', 'bouteloua', 'bouvardia', 'bovidae', 'bovista', 'bowdichia', 'boxerism', 'boyce', 'boyd', 'brabanter', 'brabantine', 'brabejum', 'brachelytra', 'brachiata', 'brachinus', 'brachioganoidei', 'brachiopoda', 'brachiosaurus', 'brachycera', 'brachycome', 'brachyoura', 'brachyphyllum', 'brachystegia', 'brachystomata', 'brachyura', 'brachyurus', 'bracon', 'braconidae', 'bradbury', 'bradburya', 'bradford', 'bradley', 'bradshaw', 'bradypodidae', 'bradypus', 'bragi', 'brahm', 'brahma', 'brahmahood', 'brahmaic', 'brahman', 'brahmana', 'brahmanaspati', 'brahmanda', 'brahmaness', 'brahmanhood', 'brahmani', 'brahmanism', 'brahmanist', 'brahmanize', 'brahmany', 'brahmi', 'brahmic', 'brahmin', 'brahminism', 'brahmoism', 'brahmsite', 'brahui', 'braidism', 'braidist', 'braille', 'braillist', 'bram', 'bramantesque', 'bramantip', 'bramia', 'branchellion', 'branchiata', 'branchiobdella', 'branchiopoda', 'branchiopulmonata', 'branchiosauria', 'branchiosaurus', 'branchiostegidae', 'branchiostoma', 'branchiostomidae', 'branchipodidae', 'branchipus', 'branchiura', 'brandenburg', 'brandenburger', 'brandi', 'brandon', 'branta', 'brasenia', 'brassavola', 'brassia', 'brassica', 'brassicaceae', 'brauneberger', 'brauneria', 'brauronia', 'brava', 'brechites', 'bremia', 'brenda', 'brendan', 'brender', 'brenthis', 'breton', 'bretschneideraceae', 'bretwalda', 'bretwaldadom', 'bretwaldaship', 'brevicipitidae', 'brevirostrines', 'brian', 'briard', 'briarean', 'briareus', 'bribri', 'bridget', 'brigantes', 'brigantia', 'briggs', 'brighella', 'brighid', 'brigid', 'brigittine', 'brissotin', 'brissotine', 'bristol', 'britain', 'britannia', 'briticism', 'britisher', 'britishhood', 'britishism', 'britishness', 'briton', 'britoness', 'brittany', 'briza', 'broadwayite', 'brobdingnag', 'brodiaea', 'brodie', 'bromelia', 'bromeliaceae', 'bromios', 'bromius', 'bromus', 'bronteana', 'brontesque', 'brontops', 'brontosaurus', 'brontotherium', 'brontozoum', 'bronx', 'brooke', 'brooklynite', 'brosimum', 'brotherton', 'brotula', 'brotulidae', 'broussonetia', 'browningesque', 'brownism', 'brownist', 'bruce', 'brucella', 'bruchidae', 'bruchus', 'bructeri', 'brule', 'brumalia', 'brunella', 'brunellia', 'brunelliaceae', 'brunfelsia', 'brunnichia', 'bruno', 'brunonia', 'brunoniaceae', 'brunonism', 'brussels', 'bruta', 'brutus', 'bryaceae', 'bryales', 'bryan', 'bryanism', 'bryanite', 'bryanthus', 'bryce', 'bryonia', 'bryophyllum', 'bryophyta', 'bryozoa', 'brython', 'bryum', 'bubastid', 'bubastite', 'bube', 'bubonidae', 'buccellarius', 'buccinidae', 'buccinum', 'bucco', 'bucconidae', 'bucconinae', 'bucculatrix', 'bucephala', 'bucephalus', 'buceros', 'bucerotes', 'bucerotidae', 'bucerotinae', 'buchanan', 'buchanite', 'buchloe', 'buchmanism', 'buchmanite', 'buchnera', 'buckleya', 'bucorvinae', 'bucorvus', 'buddh', 'buddha', 'buddhahood', 'buddhaship', 'buddhism', 'buddhist', 'buddhology', 'buddleia', 'budh', 'budorcas', 'budukha', 'buduma', 'buettneria', 'buettneriaceae', 'bufonidae', 'bugi', 'buginvillaea', 'bukat', 'bukeyef', 'bukidnon', 'bulanda', 'bulbilis', 'bulbochaete', 'bulbocodium', 'bulbophyllum', 'bulgar', 'bulgari', 'bulgaric', 'bulgarophil', 'bulimulidae', 'bulimus', 'bullidae', 'bullockite', 'bullom', 'bumbledom', 'bumelia', 'bunda', 'bundeli', 'bundestag', 'bundu', 'bunga', 'bungarus', 'buninahua', 'bunodonta', 'bunomastodontidae', 'bunyoro', 'buphaga', 'buphthalmum', 'bupleurum', 'buprestidae', 'buprestis', 'burbankism', 'burberry', 'burgundy', 'burhinidae', 'burhinus', 'buriat', 'burley', 'burlington', 'burman', 'burmannia', 'burmanniaceae', 'bursera', 'burseraceae', 'burushaski', 'burut', 'busaos', 'bushman', 'bushongo', 'busycon', 'bute', 'butea', 'buteo', 'butomaceae', 'butomus', 'butsu', 'butyn', 'buxaceae', 'buxbaumia', 'buxbaumiaceae', 'buxus', 'buyides', 'byblidaceae', 'byblis', 'bynin', 'byron', 'byronesque', 'byroniana', 'byronics', 'byronism', 'byronist', 'byronite', 'byronize', 'byrsonima', 'bysacki', 'byzantine', 'byzantinesque', 'byzantinism', 'byzantinize', 'cabinda', 'cabirean', 'cabiri', 'cabiria', 'cabiric', 'cabomba', 'cabombaceae', 'caca', 'cacajao', 'cacalia', 'cacana', 'cacara', 'cacatua', 'cacatuidae', 'cacatuinae', 'caccabis', 'cacicus', 'cactaceae', 'cactales', 'cactus', 'caddo', 'caddoan', 'cadmean', 'cadmopone', 'cadmus', 'caducibranchiata', 'cadwal', 'cadwallader', 'caecilia', 'caeciliae', 'caeciliidae', 'caelum', 'caelus', 'caenogaea', 'caenogaean', 'caenolestes', 'caesalpinia', 'caesalpiniaceae', 'caesar', 'caesardom', 'caesareanize', 'caesarism', 'caesarist', 'caesarize', 'caesarotomy', 'caesarship', 'cagayan', 'cagn', 'cahenslyism', 'cahill', 'cahita', 'cahnite', 'cahokia', 'cahuapana', 'cahuilla', 'caingang', 'caingua', 'cainism', 'cainite', 'cairba', 'cairene', 'cairo', 'caitanyas', 'caite', 'cajan', 'cajanus', 'cakavci', 'cakchikel', 'cakile', 'calabar', 'calabari', 'caladium', 'calamagrostis', 'calamariaceae', 'calamariales', 'calamintha', 'calamites', 'calamodendron', 'calamopitys', 'calamospermae', 'calamostachys', 'calandra', 'calandridae', 'calandrinae', 'calandrinia', 'calanthe', 'calappa', 'calappidae', 'calas', 'calathea', 'calatrava', 'calcarea', 'calceolaria', 'calchaqui', 'calcispongiae', 'calculagraph', 'calcydon', 'caleb', 'caledonia', 'calemes', 'calendula', 'caliban', 'calibanism', 'caliburn', 'caliburno', 'calicut', 'california', 'calimeris', 'calinago', 'calista', 'calite', 'calixtin', 'calixtus', 'calla', 'callianassa', 'callianassidae', 'calliandra', 'callicarpa', 'callicebus', 'callionymidae', 'callionymus', 'calliope', 'calliopsis', 'calliphora', 'calliphoridae', 'callirrhoe', 'callisaurus', 'callistemon', 'callistephus', 'callithrix', 'callitrichaceae', 'callitriche', 'callitrichidae', 'callitris', 'callorhynchidae', 'callorhynchus', 'calluna', 'callynteria', 'calocarpum', 'calochortaceae', 'calochortus', 'calonectria', 'calonyction', 'calophyllum', 'calopogon', 'calorite', 'calosoma', 'calotermes', 'calotermitidae', 'calothrix', 'caltha', 'calusa', 'calvados', 'calvatia', 'calvin', 'calvinism', 'calvinist', 'calvinize', 'calycanthaceae', 'calycanthus', 'calyceraceae', 'calycocarpum', 'calycophora', 'calycophorae', 'calycozoa', 'calydon', 'calymene', 'calypterae', 'calyptoblastea', 'calyptorhynchus', 'calyptraea', 'calyptranthes', 'calyptrata', 'calyptratae', 'calyptrogyne', 'calystegia', 'camaldolite', 'camaldule', 'camarasaurus', 'camassia', 'camaxtli', 'camball', 'cambalo', 'cambarus', 'cambeva', 'cambric', 'cambyuskan', 'camelidae', 'camelina', 'camellia', 'camelliaceae', 'camellus', 'cameloidea', 'camelopardalis', 'camelopardid', 'camelopardidae', 'camelopardus', 'camelus', 'camembert', 'camenae', 'camenes', 'camerata', 'camerina', 'camerinidae', 'camestres', 'camisard', 'cammarum', 'camorra', 'camorrism', 'camorrist', 'camorrista', 'campa', 'campanula', 'campanulaceae', 'campanulales', 'campanularia', 'campanulariae', 'campanularidae', 'campanulatae', 'campaspe', 'campbellism', 'campe', 'campephagidae', 'campephilus', 'campine', 'campodea', 'campodeidae', 'camponotus', 'camptosorus', 'campyloneuron', 'cana', 'canaan', 'canaanite', 'canaanitess', 'canacee', 'canadianism', 'canadianization', 'canadianize', 'cananaean', 'cananga', 'canangium', 'canariote', 'canarium', 'canarsee', 'canavali', 'canavalia', 'canberra', 'canchi', 'cancri', 'cancrid', 'candace', 'candiot', 'candlemas', 'candollea', 'candolleaceae', 'canellaceae', 'canfield', 'canichana', 'canichanan', 'canicula', 'canidae', 'canidia', 'canis', 'canisiana', 'cannabinaceae', 'cannabis', 'cannaceae', 'cannonism', 'cannstatt', 'canoeiro', 'canopus', 'canossa', 'cantab', 'cantabri', 'cantabrize', 'cantate', 'canterburianism', 'canterbury', 'cantharellus', 'cantharidae', 'canuck', 'caodaism', 'caodaist', 'capella', 'capernaism', 'capernaite', 'caphtor', 'caphtorim', 'capito', 'capitol', 'capitoline', 'capitolium', 'capitonidae', 'capitoninae', 'capnodium', 'capnoides', 'capparidaceae', 'capparis', 'capra', 'caprella', 'caprellidae', 'capreolus', 'capri', 'capricorn', 'capricornid', 'capricornus', 'caprifoliaceae', 'caprimulgi', 'caprimulgidae', 'caprimulgiformes', 'caprimulgus', 'capriola', 'capriote', 'capromys', 'capsella', 'capsidae', 'capuan', 'caquetio', 'cara', 'carabidae', 'carabini', 'caractacus', 'caradoc', 'caragana', 'caraho', 'caraipa', 'caraja', 'carajas', 'carandas', 'caranga', 'carangidae', 'carangus', 'caranx', 'carapa', 'carapache', 'carapacho', 'carapidae', 'carapus', 'carara', 'carayan', 'carbolineum', 'carboloy', 'carbonari', 'carbonarism', 'carbonarist', 'carbonnieux', 'carboxydomonas', 'carcavelhos', 'carcharhinus', 'carcharias', 'carchariidae', 'carcharodon', 'carcinoscorpius', 'cardamine', 'cardiacea', 'cardiazol', 'cardiidae', 'cardinalis', 'cardiospermum', 'cardium', 'carduaceae', 'carduelis', 'carduus', 'caretta', 'carettochelydidae', 'carex', 'cariacus', 'cariamae', 'carib', 'caribal', 'cariban', 'caribbean', 'caribbee', 'caribi', 'caribisi', 'carica', 'caricaceae', 'carida', 'caridea', 'caridomorpha', 'carijona', 'carinaria', 'carinatae', 'cariniana', 'caripuna', 'cariri', 'carisa', 'carissa', 'cariyo', 'carlina', 'carlisle', 'carlism', 'carlist', 'carlo', 'carlos', 'carludovica', 'carlylean', 'carlylesque', 'carlylism', 'carmanians', 'carmel', 'carmela', 'carmelite', 'carmelitess', 'carmen', 'carnaria', 'carnegie', 'carnegiea', 'carniolan', 'carnivora', 'caro', 'caroid', 'carolan', 'carole', 'carolean', 'carolina', 'caroling', 'carolyn', 'carpenteria', 'carphiophiops', 'carphophis', 'carpinus', 'carpiodes', 'carpocapsa', 'carpodacus', 'carpodetus', 'carpoidea', 'carpophaga', 'carrara', 'carraran', 'carrie', 'carsten', 'cartesianism', 'carthamus', 'cartier', 'cartilaginei', 'cartilagines', 'cartist', 'carum', 'carya', 'caryocar', 'caryocaraceae', 'caryophyllaceae', 'caryophyllus', 'caryopteris', 'caryota', 'casamarca', 'casasia', 'cascadia', 'casearia', 'casel', 'casey', 'cashibo', 'casimir', 'casimiroa', 'caslon', 'caspar', 'casper', 'cassandra', 'cassegrain', 'cassiaceae', 'cassicus', 'cassida', 'cassididae', 'cassidinae', 'cassidulina', 'cassiduloidea', 'cassiepeia', 'cassiope', 'cassiopeia', 'cassiopeid', 'cassius', 'cassytha', 'cassythaceae', 'castalia', 'castalides', 'castalio', 'castanea', 'castanopsis', 'castanospermum', 'castilla', 'castilleja', 'castilloa', 'castores', 'castoridae', 'castoroides', 'casuariidae', 'casuariiformes', 'casuarina', 'casuarinaceae', 'casuarinales', 'casuarius', 'casziel', 'catalan', 'catalanganes', 'catalanist', 'catamarenan', 'catananche', 'cataphracta', 'cataphracti', 'catarrhina', 'catasetum', 'catawba', 'catesbaea', 'catha', 'cathari', 'catharina', 'catharine', 'catharism', 'catharist', 'cathars', 'cathartae', 'cathartes', 'cathartidae', 'cathartides', 'cathartolinum', 'cathay', 'cathayan', 'catherine', 'cathrin', 'cathryn', 'cathy', 'catocala', 'catodon', 'catoism', 'catonism', 'catoquina', 'catostomidae', 'catostomus', 'catskill', 'catti', 'caucasoid', 'caughnawaga', 'caulerpa', 'caulerpaceae', 'caulite', 'caulophyllum', 'caunos', 'caunus', 'cauqui', 'caurus', 'causus', 'cavia', 'cavicornia', 'cavidae', 'cavina', 'caxton', 'cayapa', 'cayapo', 'cayleyan', 'cayubaba', 'cayubaban', 'cayuga', 'cayugan', 'cayuse', 'cayuvava', 'ccoya', 'ceanothus', 'cebalrai', 'cebatha', 'cebidae', 'cebus', 'cecidomyiidae', 'cecil', 'cecile', 'cecilia', 'cecomorphae', 'cecropia', 'cecrops', 'cedrela', 'cedric', 'cedrus', 'ceiba', 'celaeno', 'celarent', 'celastraceae', 'celastrus', 'celeomorphae', 'celia', 'cellepora', 'cellfalcicula', 'cellite', 'cellucotton', 'cellulomonadeae', 'cellulomonas', 'cellvibrio', 'celosia', 'celotex', 'celsia', 'celsius', 'celtdom', 'celtiberi', 'celticism', 'celticist', 'celticize', 'celtidaceae', 'celtillyrians', 'celtis', 'celtism', 'celtist', 'celtization', 'celtologist', 'celtologue', 'celtomaniac', 'celtophil', 'celtophobe', 'celtophobia', 'cenchrus', 'cenozoic', 'centaurea', 'centaurid', 'centauridium', 'centaurium', 'centetes', 'centetidae', 'centiloquy', 'centrales', 'centranthus', 'centrarchidae', 'centraxonia', 'centrechinoida', 'centricae', 'centriscidae', 'centriscus', 'centrolepidaceae', 'centropomidae', 'centropomus', 'centrosema', 'centrosoyus', 'centrospermae', 'centrotus', 'centunculus', 'cephaelis', 'cephalacanthidae', 'cephalacanthus', 'cephalanthus', 'cephalaspis', 'cephalata', 'cephaleuros', 'cephalina', 'cephalobranchiata', 'cephalocereus', 'cephalochorda', 'cephalochordata', 'cephalodiscida', 'cephalodiscus', 'cephalophus', 'cephalopoda', 'cephalopterus', 'cephalosporium', 'cephalotaceae', 'cephalotaxus', 'cephalotus', 'cephas', 'cepheid', 'cephidae', 'cephus', 'cepolidae', 'cerambycidae', 'ceramiaceae', 'ceramium', 'cerastium', 'cerasus', 'ceratiidae', 'ceratites', 'ceratitidae', 'ceratitis', 'ceratitoidea', 'ceratium', 'ceratobatrachinae', 'ceratodidae', 'ceratodontidae', 'ceratodus', 'ceratonia', 'ceratophrys', 'ceratophyllaceae', 'ceratophyllum', 'ceratophyta', 'ceratops', 'ceratopsia', 'ceratopsidae', 'ceratopteridaceae', 'ceratopteris', 'ceratosa', 'ceratosaurus', 'ceratospongiae', 'ceratostomataceae', 'ceratostomella', 'ceratozamia', 'cerberean', 'cerberic', 'cerberus', 'cercidiphyllaceae', 'cercis', 'cercocebus', 'cercolabes', 'cercolabidae', 'cercomonadidae', 'cercomonas', 'cercopidae', 'cercopithecidae', 'cercopithecus', 'cercospora', 'cercosporella', 'cerebratulus', 'cereus', 'cerialia', 'cerianthidae', 'cerianthus', 'cerinthe', 'ceriomyces', 'cerion', 'cerionidae', 'ceriornis', 'cerithiidae', 'cerithium', 'ceroxylon', 'certhia', 'certhiidae', 'cervantist', 'cervicapra', 'cervidae', 'cervinae', 'cervulus', 'cervus', 'cerynean', 'cesare', 'cestida', 'cestidae', 'cestoda', 'cestodaria', 'cestoidea', 'cestracion', 'cestraciontes', 'cestraciontidae', 'cetacea', 'cete', 'cetid', 'cetiosauria', 'cetiosaurus', 'cetomorpha', 'cetonia', 'cetoniides', 'cetoniinae', 'cetorhinidae', 'cetorhinus', 'cetraria', 'cetus', 'cevenol', 'cevenole', 'ceylon', 'ceyx', 'cezannesque', 'chablis', 'chac', 'chachapuya', 'chackchiuma', 'chaco', 'chaenactis', 'chaenolobus', 'chaenomeles', 'chaetangiaceae', 'chaetangium', 'chaetetes', 'chaetetidae', 'chaetifera', 'chaetites', 'chaetitidae', 'chaetochloa', 'chaetodon', 'chaetodontidae', 'chaetognatha', 'chaetophora', 'chaetophoraceae', 'chaetophorales', 'chaetopoda', 'chaetopterus', 'chaetosoma', 'chaetosomatidae', 'chaetosomidae', 'chaetura', 'chaga', 'chagga', 'chailletiaceae', 'chait', 'chakavski', 'chalastogastra', 'chalcidic', 'chalcididae', 'chalcidoidea', 'chalcioecus', 'chalcis', 'chaldaei', 'chaldaic', 'chaldaism', 'chaldean', 'chaldee', 'chalicotheriidae', 'chalicotherium', 'chalina', 'chalinidae', 'chalinitis', 'chalons', 'chalukya', 'chalukyan', 'chalybean', 'chalybes', 'chama', 'chamacea', 'chamacoco', 'chamaebatia', 'chamaecistus', 'chamaecrista', 'chamaecyparis', 'chamaedaphne', 'chamaeleo', 'chamaeleon', 'chamaeleontidae', 'chamaelirium', 'chamaenerion', 'chamaepericlymenum', 'chamaerops', 'chamaesaura', 'chamaesiphon', 'chamaesiphonaceae', 'chamaesiphonales', 'chamaesyce', 'chambertin', 'chambioa', 'chamicuro', 'chamidae', 'chamkanni', 'chamoisette', 'chamomilla', 'chamorro', 'chamos', 'champa', 'champlain', 'chanabal', 'chanca', 'chane', 'changoan', 'changos', 'changuina', 'changuinan', 'chanidae', 'chaouia', 'chapacura', 'chapacuran', 'chapanec', 'chara', 'characeae', 'characinidae', 'charadrii', 'charadriidae', 'charadriiformes', 'charadriomorphae', 'charadrius', 'charales', 'charca', 'charicleia', 'charissa', 'charites', 'charleen', 'charlene', 'charles', 'charleston', 'charley', 'charlie', 'charlotte', 'charon', 'charontas', 'charophyta', 'charruan', 'charruas', 'charterist', 'chartism', 'chartreux', 'charybdis', 'chasidim', 'chasselas', 'chastacosta', 'chatillon', 'chatino', 'chatot', 'chattanooga', 'chattanoogan', 'chatti', 'chauceriana', 'chaucerianism', 'chaucerism', 'chauchat', 'chaui', 'chauliodes', 'chauna', 'chautauqua', 'chautauquan', 'chavante', 'chavantean', 'chawia', 'chayma', 'chayota', 'chazy', 'cheapside', 'chebacco', 'chechehet', 'chechen', 'chefrinia', 'chehalis', 'cheilanthes', 'cheilodipteridae', 'cheilodipterus', 'cheilostomata', 'cheiranthus', 'cheirogaleus', 'cheiroglossa', 'cheiroptera', 'cheirotherium', 'cheka', 'chekist', 'chelidonium', 'chelidosaurus', 'cheliferidea', 'chellean', 'chelodina', 'chelonia', 'chelonidae', 'cheloniidae', 'cheltenham', 'chelura', 'chelydidae', 'chelydra', 'chelydridae', 'chemakuan', 'chemehuevi', 'chemung', 'chen', 'cheney', 'chenopodiaceae', 'chenopodiales', 'chenopodium', 'chequers', 'chera', 'cheremiss', 'cherkess', 'cherkesser', 'chermes', 'chermidae', 'cherokee', 'chersydridae', 'cherusci', 'chervante', 'chesapeake', 'cheshire', 'chet', 'cheviot', 'cheyenne', 'chiam', 'chianti', 'chiapanec', 'chiasmodon', 'chiasmodontidae', 'chibcha', 'chibchan', 'chicha', 'chichimec', 'chickahominy', 'chickamauga', 'chicomecoatl', 'chihuahua', 'chilcat', 'childermas', 'chilean', 'chileanization', 'chileanize', 'chilina', 'chilinidae', 'chilion', 'chilkat', 'chilliwack', 'chilognatha', 'chilomastix', 'chilopoda', 'chilopsis', 'chilostoma', 'chilostomata', 'chimaeridae', 'chimaeroidei', 'chimakuan', 'chimakum', 'chimalakwe', 'chimalapa', 'chimane', 'chimaphila', 'chimarikan', 'chimariko', 'chimmesyan', 'chimonanthus', 'chimu', 'chinaman', 'chinantecs', 'chinatown', 'chinchasuyu', 'chinee', 'chinesery', 'chingpaw', 'chinhwan', 'chinook', 'chinookan', 'chiococca', 'chiogenes', 'chionanthus', 'chionaspis', 'chionididae', 'chionis', 'chionodoxa', 'chiot', 'chipewyan', 'chippendale', 'chiquitan', 'chiquito', 'chiriana', 'chiricahua', 'chiriguano', 'chirino', 'chiromantis', 'chiromyidae', 'chiromys', 'chiron', 'chironomidae', 'chironomus', 'chiroptera', 'chirotes', 'chirotherium', 'chisedec', 'chita', 'chitimacha', 'chitimachan', 'chitrali', 'chlamydobacteriaceae', 'chlamydobacteriales', 'chlamydomonadaceae', 'chlamydomonadidae', 'chlamydomonas', 'chlamydosaurus', 'chlamydoselachidae', 'chlamydoselachus', 'chlamydozoa', 'chlamyphorus', 'chleuh', 'chloe', 'chloranthaceae', 'chloranthus', 'chlorella', 'chlorellaceae', 'chloridella', 'chloridellidae', 'chlorion', 'chlorioninae', 'chlorococcaceae', 'chlorococcales', 'chlorococcum', 'chlorococcus', 'chloromycetin', 'chlorophora', 'chlorophyceae', 'chnuphis', 'choanephora', 'choanoflagellata', 'choanoflagellida', 'choanoflagellidae', 'choco', 'chocoan', 'choctaw', 'choeropsis', 'choes', 'choiak', 'choisya', 'cholo', 'choloepus', 'cholonan', 'cholones', 'choluteca', 'chondrilla', 'chondroganoidei', 'chondromyces', 'chondropterygii', 'chondrostei', 'chontal', 'chontalan', 'chontaquiro', 'chora', 'chorai', 'chordaceae', 'chordata', 'chordeiles', 'chorioptes', 'choripetalae', 'chorotega', 'choroti', 'chorti', 'chorwat', 'chou', 'chouan', 'chouanize', 'chowanoc', 'chozar', 'chris', 'chrissie', 'christ', 'christabel', 'christadelphianism', 'christdom', 'christed', 'christendie', 'christendom', 'christenmas', 'christhood', 'christiad', 'christiana', 'christiania', 'christianiadeal', 'christianism', 'christianity', 'christianization', 'christianize', 'christianizer', 'christianlike', 'christianness', 'christianogentilism', 'christianography', 'christianomastix', 'christianopaganism', 'christicide', 'christie', 'christiform', 'christina', 'christine', 'christless', 'christlessness', 'christlike', 'christlikeness', 'christliness', 'christmas', 'christmasberry', 'christmasing', 'christmastide', 'christmasy', 'christocentric', 'christofer', 'christogram', 'christolatry', 'christologist', 'christology', 'christophany', 'christophe', 'christopher', 'christos', 'chrobat', 'chromatioideae', 'chromatium', 'chromidae', 'chromides', 'chromididae', 'chromobacterieae', 'chromobacterium', 'chronos', 'chroococcaceae', 'chroococcales', 'chroococcus', 'chrosperma', 'chrysamphora', 'chrysaor', 'chrysemys', 'chrysidella', 'chrysididae', 'chrysippus', 'chrysis', 'chrysobalanaceae', 'chrysobalanus', 'chrysochloridae', 'chrysochloris', 'chrysolophus', 'chrysomelidae', 'chrysomonadales', 'chrysomonadina', 'chrysomyia', 'chrysopa', 'chrysophanus', 'chrysophlyctis', 'chrysophyllum', 'chrysopidae', 'chrysops', 'chrysopsis', 'chrysosplenium', 'chrysothamnus', 'chrysothrix', 'chrysotis', 'chuchona', 'chud', 'chude', 'chudic', 'chueta', 'chuje', 'chukchi', 'chumashan', 'chumawi', 'chumpivilca', 'chumulu', 'chuncho', 'churoya', 'churoyan', 'churrigueresque', 'chuvash', 'chwana', 'chytridiaceae', 'chytridiales', 'chytridium', 'chytroi', 'cibola', 'cibolan', 'ciboney', 'cicadellidae', 'cicadidae', 'ciceronianism', 'ciceronianize', 'cichlidae', 'cichoriaceae', 'cichorium', 'cicindela', 'ciconia', 'ciconiae', 'ciconiidae', 'ciconiiformes', 'cicuta', 'cid', 'cidaridae', 'cidaroida', 'ciliata', 'cilicism', 'cilioflagellata', 'ciliophora', 'cimbri', 'cimbric', 'cimicidae', 'cimicifuga', 'cimmeria', 'cimmerianism', 'cinchona', 'cinchonaceae', 'cincinnati', 'cincinnatia', 'cinclidae', 'cinclidotus', 'cinclus', 'cinderella', 'cindie', 'cindy', 'cinemascope', 'cinerama', 'cineraria', 'cinnamodendron', 'cinnamomum', 'cinura', 'cipango', 'circaea', 'circaeaceae', 'circaetus', 'circe', 'circean', 'circinus', 'circumcellion', 'cirratulidae', 'cirratulus', 'cirrhopetalum', 'cirripedia', 'cirrostomi', 'cirsium', 'cisalpinism', 'cismontanism', 'cissampelos', 'cissus', 'cistaceae', 'cistercianism', 'cistudo', 'cistus', 'citellus', 'citharexylum', 'citigradae', 'citromyces', 'citropsis', 'citrullus', 'civitan', 'cixiidae', 'cixo', 'clackama', 'cladocera', 'cladodontidae', 'cladodus', 'cladonia', 'cladoniaceae', 'cladophora', 'cladophoraceae', 'cladophorales', 'cladoselache', 'cladoselachea', 'cladoselachidae', 'cladosporium', 'cladothrix', 'cladrastis', 'claiborne', 'claire', 'clallam', 'clamatores', 'clangula', 'claosaurus', 'clara', 'clare', 'clarence', 'clarenceux', 'clarenceuxship', 'clarencieux', 'claribel', 'clarice', 'clarinda', 'clarissa', 'clarisse', 'clarist', 'clarkia', 'claromontane', 'clathraceae', 'clathraria', 'clathrina', 'clathrinidae', 'clathrus', 'clatsop', 'claude', 'claudia', 'claudio', 'claudius', 'clausilia', 'clausiliidae', 'clavaria', 'clavariaceae', 'claviceps', 'clavicornes', 'clavicornia', 'clayoquot', 'clayton', 'claytonia', 'cleistothecopsis', 'clematis', 'clemclemalats', 'clementina', 'clementine', 'cleome', 'cleopatra', 'clepsine', 'cleridae', 'clerodendron', 'clerus', 'clethra', 'clethraceae', 'clidastes', 'clifford', 'cliftonia', 'climaciaceae', 'climacium', 'climatius', 'clinopodium', 'clinton', 'clintonia', 'clio', 'cliona', 'clione', 'clisiocampa', 'clistogastra', 'clitocybe', 'clitoria', 'clivia', 'clonorchis', 'clonothrix', 'closterium', 'clostridium', 'clothilda', 'clotho', 'clubionidae', 'cluniac', 'clunist', 'clupea', 'clupeidae', 'clupeodei', 'clusia', 'clusiaceae', 'clyde', 'clydesdale', 'clydeside', 'clydesider', 'clymenia', 'clypeaster', 'clypeastridea', 'clypeastrina', 'clypeastroida', 'clypeastroidea', 'clytemnestra', 'cnemidophorus', 'cneoraceae', 'cneorum', 'cnicus', 'cnidaria', 'cnidoscolus', 'coalite', 'coan', 'coastguard', 'cobdenism', 'cobdenite', 'cobitidae', 'cobitis', 'cobleskill', 'cobus', 'cocama', 'cocamama', 'cocanucos', 'coccaceae', 'cocceianism', 'coccidae', 'coccidiidea', 'coccidioides', 'coccidiomorpha', 'coccinellidae', 'coccogonales', 'coccogoneae', 'coccolithophoridae', 'coccoloba', 'coccolobis', 'coccomyces', 'coccosteidae', 'coccosteus', 'coccothraustes', 'coccothrinax', 'coccygomorphae', 'coccyzus', 'cochin', 'cochlearia', 'cochlidiidae', 'cochliodontidae', 'cochliodus', 'cochlospermaceae', 'cochlospermum', 'cochranea', 'cockaigne', 'cocle', 'coconino', 'coconuco', 'cocos', 'cocytean', 'cocytus', 'codiaceae', 'codiaeum', 'codiales', 'codium', 'codrus', 'coelacanthidae', 'coelacanthini', 'coelastraceae', 'coelastrum', 'coelata', 'coelebogyne', 'coelelminthes', 'coelentera', 'coelenterata', 'coelicolae', 'coelicolist', 'coelococcus', 'coeloglossum', 'coelogyne', 'coelomata', 'coelomocoela', 'coendidae', 'coendou', 'coerebidae', 'cofane', 'coffea', 'cogswellia', 'cohen', 'cointreau', 'coix', 'colada', 'colan', 'colbertism', 'colchicaceae', 'colchicum', 'colchis', 'colcine', 'coleen', 'coleochaetaceae', 'coleochaete', 'coleophora', 'coleophoridae', 'coleoptera', 'coleosporiaceae', 'coleosporium', 'coleus', 'colias', 'coliidae', 'coliiformes', 'colinus', 'colius', 'colla', 'collegiant', 'collembola', 'colleri', 'colleries', 'colletes', 'colletia', 'colletidae', 'colletotrichum', 'collinsia', 'collinsonia', 'collocalia', 'collomia', 'collybia', 'colobus', 'colocasia', 'colocephali', 'cologne', 'colombina', 'coloradan', 'colorum', 'colosseum', 'colossochelys', 'colossuswise', 'coluber', 'colubridae', 'colubriformes', 'colubriformia', 'colubrina', 'colubrinae', 'columba', 'columbae', 'columban', 'columbella', 'columbia', 'columbid', 'columbidae', 'columbiformes', 'columellia', 'columelliaceae', 'colutea', 'colville', 'colymbidae', 'colymbriformes', 'colymbus', 'coman', 'comanche', 'comanchean', 'comandra', 'comarum', 'combretaceae', 'combretum', 'comecrudo', 'comiakin', 'comid', 'cominform', 'comitium', 'commelina', 'commelinaceae', 'commiphora', 'comox', 'compitalia', 'compositae', 'compsilura', 'compsoa', 'compsognathus', 'compsothlypidae', 'comptometer', 'comptonia', 'comsomol', 'comtism', 'comtist', 'comus', 'conant', 'conchifera', 'conchobor', 'conchostraca', 'conchubar', 'conchucu', 'concorrezanes', 'condalia', 'condylarthra', 'condylopoda', 'condylura', 'conemaugh', 'conestoga', 'confed', 'conferva', 'confervaceae', 'confervales', 'confervoideae', 'confucianism', 'confucianist', 'congo', 'congoleum', 'congregationalist', 'congregationer', 'congreso', 'congresso', 'congreve', 'congridae', 'conidae', 'coniferae', 'conilurus', 'coniogramme', 'coniophora', 'coniopterygidae', 'conioselinum', 'coniothyrium', 'conirostres', 'conium', 'conjugales', 'conjugatae', 'connaraceae', 'connarus', 'connie', 'connochaetes', 'conocarpus', 'conocephalum', 'conocephalus', 'conolophus', 'conopholis', 'conopidae', 'conopophaga', 'conopophagidae', 'conor', 'conorhinus', 'conoy', 'conrad', 'conringia', 'consolamentum', 'consolato', 'constance', 'constantine', 'constantinopolitan', 'continentaler', 'continentalize', 'contortae', 'contraposaune', 'conularia', 'conuropsis', 'conurus', 'convallaria', 'convallariaceae', 'convoluta', 'convolvulaceae', 'convolvulus', 'coohee', 'cooperia', 'coorg', 'coos', 'coosuc', 'copaifera', 'copaiva', 'copehan', 'copelata', 'copelatae', 'copeognatha', 'copepoda', 'copernicanism', 'copernicia', 'cophetua', 'coprides', 'coprinae', 'coprinus', 'coprosma', 'copt', 'coptis', 'coquitlam', 'corabeca', 'coraciae', 'coracias', 'coracii', 'coraciidae', 'coraciiformes', 'coracomorphae', 'corallidae', 'coralligena', 'corallina', 'corallinaceae', 'corallium', 'corallorhiza', 'corallus', 'corambis', 'corchorus', 'corcyraean', 'cordaitaceae', 'cordaitales', 'cordaites', 'cordeau', 'cordelia', 'cordelier', 'cordery', 'cordia', 'cordovan', 'cordula', 'cordyceps', 'cordylanthus', 'cordyline', 'coree', 'coregonidae', 'coregonus', 'coreidae', 'corema', 'coreopsis', 'corey', 'corfiote', 'corflambo', 'coriandrum', 'coriaria', 'coriariaceae', 'corimelaena', 'corimelaenidae', 'corin', 'corineus', 'corinna', 'corinth', 'corinthianesque', 'corinthianism', 'corinthianize', 'coriolanus', 'corixa', 'corixidae', 'cormac', 'cormophyta', 'cornaceae', 'cornelia', 'cornelius', 'cornishman', 'cornucopiae', 'cornulites', 'cornus', 'coroado', 'coronilla', 'coronopus', 'coropo', 'correa', 'corriedale', 'corrigiola', 'corrigiolaceae', 'corrodentia', 'cortaderia', 'cortes', 'corticium', 'cortinarius', 'corton', 'corvidae', 'corvinae', 'corvus', 'cory', 'corybant', 'corybantine', 'corycia', 'corydalis', 'corydon', 'corylaceae', 'corylopsis', 'corylus', 'corynebacterium', 'coryneum', 'corynocarpaceae', 'corynocarpus', 'corypha', 'coryphaena', 'coryphaenidae', 'coryphaenoididae', 'coryphodon', 'coscinodiscaceae', 'coscinodiscus', 'cosmati', 'cossack', 'cossaean', 'cossidae', 'costaea', 'costanoan', 'costata', 'cotinga', 'cotingidae', 'cotinus', 'cotonam', 'cotoneaster', 'cotoxo', 'cottidae', 'cottonopolis', 'cottus', 'coturnix', 'cotylophora', 'cotylosauria', 'cotys', 'cotyttia', 'coueism', 'coumarouna', 'cours', 'courtney', 'coutet', 'covarecas', 'coventry', 'coviello', 'covillea', 'cowan', 'cowichan', 'cowlitz', 'coyotero', 'cracca', 'cracidae', 'cracinae', 'cradock', 'craig', 'crambidae', 'crambinae', 'crambus', 'craniata', 'craniota', 'craspedota', 'crassina', 'crassula', 'crassulaceae', 'crataegus', 'crataeva', 'craterellus', 'craterid', 'cratinean', 'crawthumper', 'crax', 'credo', 'crenothrix', 'creodonta', 'creolin', 'crepidula', 'crepis', 'crescentia', 'cressida', 'cretacic', 'cretan', 'crete', 'cretism', 'crex', 'cricetidae', 'cricetus', 'cricotus', 'crimean', 'criniger', 'crinoidea', 'crinum', 'crioceras', 'crioceris', 'criophoros', 'cris', 'crispin', 'cristatella', 'cristi', 'cristina', 'cristineaux', 'cristino', 'cristispira', 'cristivomer', 'cristopher', 'crithidia', 'croat', 'croatan', 'crocanthemum', 'crocidura', 'crocodilia', 'crocodilidae', 'crocodilus', 'crocodylidae', 'crocodylus', 'crocosmia', 'crokinole', 'crom', 'cromer', 'cromwell', 'cronartium', 'croomia', 'crosby', 'crossopterygii', 'crossosoma', 'crossosomataceae', 'crotalaria', 'crotalidae', 'crotalinae', 'crotalus', 'crotaphytus', 'croton', 'crotophaga', 'crucianella', 'crucibulum', 'cruciferae', 'crusca', 'crustacea', 'crypteronia', 'crypteroniaceae', 'cryptobranchia', 'cryptobranchiata', 'cryptobranchidae', 'cryptobranchus', 'cryptocarya', 'cryptocephala', 'cryptocerata', 'cryptocleidus', 'cryptodira', 'cryptogamia', 'cryptoglaux', 'cryptogramma', 'cryptomeria', 'cryptomonadales', 'cryptomonadina', 'cryptonemiales', 'cryptophagidae', 'cryptophyceae', 'cryptoprocta', 'cryptorhynchus', 'cryptostegia', 'cryptostomata', 'cryptotaenia', 'cryptozonia', 'crypturi', 'crypturidae', 'crystolon', 'ctenacanthus', 'ctenocephalus', 'ctenodipterini', 'ctenodontidae', 'ctenodus', 'ctenoidei', 'ctenophora', 'ctenoplana', 'ctenostomata', 'cuailnge', 'cuba', 'cuban', 'cubanize', 'cubelium', 'cubomedusae', 'cuchan', 'cuchulainn', 'cucujid', 'cucujidae', 'cucujus', 'cuculi', 'cuculidae', 'cuculiformes', 'cuculus', 'cucumaria', 'cucumariidae', 'cucumis', 'cucurbita', 'cucurbitaceae', 'cueva', 'cuitlateco', 'cujam', 'culavamsa', 'culdee', 'culex', 'culicidae', 'culicinae', 'culicoides', 'cullen', 'cultirostres', 'cultrirostres', 'cumacea', 'cumaean', 'cumanagoto', 'cumar', 'cuna', 'cunan', 'cunarder', 'cunas', 'cunninghamia', 'cunonia', 'cunoniaceae', 'cunza', 'cuon', 'cupania', 'cuphea', 'cupressaceae', 'cupressinoxylon', 'cupressus', 'cupuliferae', 'curculio', 'curculionidae', 'curcuma', 'curiatii', 'curitis', 'cursa', 'cursores', 'cursoria', 'cursoriidae', 'cursorius', 'curtana', 'curtis', 'curtise', 'curucaneca', 'curuminaca', 'curupira', 'curvirostres', 'cuscuta', 'cuscutaceae', 'cushite', 'cuterebra', 'cuthbert', 'cutiterebra', 'cutleria', 'cutleriaceae', 'cutleriales', 'cuzceno', 'cyamus', 'cyanastraceae', 'cyanastrum', 'cyanea', 'cyanocitta', 'cyanophyceae', 'cyanospiza', 'cyathaspis', 'cyathea', 'cyatheaceae', 'cyathophyllidae', 'cyathophyllum', 'cybister', 'cycadaceae', 'cycadales', 'cycadeoidea', 'cycadofilicales', 'cycadofilices', 'cycadophyta', 'cycas', 'cycladic', 'cyclanthaceae', 'cyclanthales', 'cyclanthus', 'cycliae', 'cyclobothra', 'cycloconium', 'cycloganoidei', 'cycloidei', 'cycloloma', 'cyclomyaria', 'cyclophorus', 'cyclopic', 'cyclops', 'cyclopteridae', 'cyclorrhapha', 'cyclospondyli', 'cyclosporales', 'cyclosporeae', 'cyclosporinae', 'cyclostoma', 'cyclostomata', 'cyclostomatidae', 'cyclostomes', 'cyclostomi', 'cyclostomidae', 'cyclotella', 'cyclothurus', 'cyclotosaurus', 'cydippe', 'cydippida', 'cydonia', 'cygnid', 'cygninae', 'cygnus', 'cylindrella', 'cylindrophis', 'cylindrosporium', 'cyllenius', 'cymbalaria', 'cymbella', 'cymbium', 'cymbopogon', 'cymodoceaceae', 'cymoidium', 'cymraeg', 'cymric', 'cymry', 'cynanchum', 'cynara', 'cynias', 'cynipidae', 'cynipoidea', 'cynips', 'cynocrambaceae', 'cynocrambe', 'cynodon', 'cynodontia', 'cynogale', 'cynoglossum', 'cynognathus', 'cynoidea', 'cynomoriaceae', 'cynomorium', 'cynomorpha', 'cynomys', 'cynopithecidae', 'cynosarges', 'cynoscion', 'cynosura', 'cynosurus', 'cynoxylon', 'cynthia', 'cynthiidae', 'cynthius', 'cyperaceae', 'cyperus', 'cyphomandra', 'cypraea', 'cypraeidae', 'cypria', 'cyprididae', 'cypridina', 'cypridinidae', 'cyprina', 'cyprinidae', 'cyprinodontes', 'cyprinodontidae', 'cyprinoidea', 'cyprinus', 'cypriote', 'cypripedium', 'cypris', 'cypseli', 'cypselidae', 'cypseliformes', 'cypselomorphae', 'cypselus', 'cyrano', 'cyrenaic', 'cyrenaicism', 'cyril', 'cyrilla', 'cyrillaceae', 'cyrillianism', 'cyrtandraceae', 'cyrtidae', 'cyrtoceras', 'cyrtomium', 'cystidea', 'cystignathidae', 'cystoflagellata', 'cystoidea', 'cystonectae', 'cystophora', 'cystopteris', 'cystopus', 'cytherea', 'cytherean', 'cytherella', 'cytherellidae', 'cytinaceae', 'cytinus', 'cytisus', 'cytophaga', 'cytospora', 'cytosporina', 'czech', 'czechization', 'czechoslovak', 'dabih', 'dabitis', 'dacelo', 'daceloninae', 'dacrydium', 'dactylis', 'dactylopius', 'dactylopteridae', 'dactylopterus', 'dacus', 'dadaism', 'dadaist', 'dadayag', 'dadoxylon', 'dadu', 'dadupanthi', 'daedalea', 'daedalean', 'daedalic', 'daedalidae', 'daedalist', 'daedalus', 'daemonelix', 'dafla', 'dagbamba', 'dagbane', 'dagestan', 'dagmar', 'dago', 'dagomba', 'daguerrean', 'dahlia', 'dahoman', 'dahomeyan', 'daibutsu', 'daijo', 'dail', 'dailamite', 'dakhini', 'dakota', 'dalbergia', 'dalea', 'dalibarda', 'dalmania', 'dalmanites', 'daltonic', 'daltonism', 'daltonist', 'damara', 'damascus', 'damayanti', 'damgalnunna', 'damia', 'damianist', 'dammara', 'damnii', 'damnonii', 'damoclean', 'damocles', 'damoetas', 'damon', 'damone', 'dana', 'danaan', 'danagla', 'danai', 'danaidae', 'danaidean', 'danainae', 'danais', 'danakil', 'dane', 'daneball', 'daneflower', 'danegeld', 'danelaw', 'daneweed', 'danewort', 'dani', 'danic', 'daniel', 'daniele', 'danielic', 'danielle', 'danism', 'danite', 'danization', 'danize', 'dankali', 'dannebrog', 'dannie', 'danny', 'dantean', 'dantesque', 'danthonia', 'dantist', 'dantology', 'dantomania', 'dantonesque', 'dantonist', 'dantophilist', 'danube', 'danuri', 'danzig', 'danziger', 'dapedium', 'dapedius', 'daphnaceae', 'daphne', 'daphnean', 'daphnephoria', 'daphnia', 'daphnis', 'darapti', 'darbyism', 'darbyite', 'darci', 'dard', 'dardan', 'dardani', 'dardic', 'dardistan', 'daren', 'dares', 'darghin', 'dargo', 'darien', 'darii', 'darin', 'darius', 'darjeeling', 'darlingtonia', 'darrell', 'darren', 'darryl', 'darsonval', 'darsonvalism', 'dartagnan', 'dartmoor', 'darwinism', 'darwinist', 'darwinite', 'darwinize', 'daryl', 'daschagga', 'dashnak', 'dashnakist', 'dashnaktzutiun', 'dasiphora', 'dasya', 'dasyatidae', 'dasyatis', 'dasycladaceae', 'dasylirion', 'dasypeltis', 'dasypodidae', 'dasyprocta', 'dasyproctidae', 'dasypus', 'dasystephana', 'dasyuridae', 'dasyurus', 'dasyus', 'datisca', 'datiscaceae', 'datisi', 'datism', 'datura', 'daubentonia', 'daubentoniidae', 'daucus', 'daulias', 'daunii', 'daur', 'dauri', 'davallia', 'dave', 'david', 'davidic', 'davidist', 'daviesia', 'dawson', 'dawsonia', 'dawsoniaceae', 'dayakker', 'daza', 'debbie', 'debi', 'deborah', 'debussyan', 'debussyanize', 'decaisnea', 'decalin', 'decalogist', 'decalogue', 'decameron', 'decameronic', 'decapoda', 'december', 'decemberish', 'decembrist', 'dechlog', 'deciduata', 'decimus', 'decius', 'decodon', 'decumaria', 'dedan', 'dedanim', 'dedanite', 'deepfreeze', 'deguelia', 'dehaites', 'dehgan', 'dehkan', 'dehwar', 'deidesheimer', 'deimos', 'deino', 'deinocephalia', 'deinoceras', 'deinodon', 'deinodontidae', 'deinosauria', 'deinotherium', 'deipara', 'deiphobus', 'deirdre', 'dekabrist', 'del', 'delaware', 'delawarean', 'delbert', 'delesseria', 'delesseriaceae', 'delhi', 'delia', 'delichon', 'delilah', 'della', 'delobranchiata', 'delphacidae', 'delphin', 'delphinapterus', 'delphinid', 'delphinidae', 'delphinium', 'delphinius', 'delphinoidea', 'delphinus', 'delsarte', 'delsartean', 'dematiaceae', 'demerol', 'demodex', 'demodicidae', 'demodocus', 'demogorgon', 'demophon', 'demophoon', 'demospongiae', 'demosthenean', 'demosthenic', 'dendraspis', 'dendrites', 'dendrium', 'dendrobates', 'dendrobatinae', 'dendrobium', 'dendrocalamus', 'dendroceratina', 'dendrochirota', 'dendrocoela', 'dendrocolaptidae', 'dendroctonus', 'dendrocygna', 'dendrodus', 'dendroeca', 'dendrogaea', 'dendrogaean', 'dendrohyrax', 'dendroica', 'dendroidea', 'dendrolagus', 'dendrolene', 'dendromecon', 'dendropogon', 'deneb', 'denebola', 'denis', 'denmark', 'dennis', 'dennstaedtia', 'dentaliidae', 'dentalium', 'dentaria', 'denticeti', 'dentirostres', 'derbend', 'derek', 'deringa', 'deripia', 'dermacentor', 'dermaptera', 'dermatobia', 'dermatocoptes', 'dermatophagus', 'dermatoptera', 'dermestes', 'dermestidae', 'dermobranchia', 'dermochelys', 'dermoptera', 'dermorhynchi', 'derotrema', 'derotremata', 'derris', 'deschampsia', 'desmanthus', 'desmarestia', 'desmarestiaceae', 'desmatippus', 'desmidiaceae', 'desmidiales', 'desmodactyli', 'desmodium', 'desmodontidae', 'desmodus', 'desmognathae', 'desmomyaria', 'desmoncus', 'desmoscolecidae', 'desmoscolex', 'desmothoraca', 'despotes', 'desulfovibrio', 'detroiter', 'deuteromycetes', 'deuteronomic', 'deuteronomist', 'deuteronomy', 'deuterostomata', 'deutzia', 'devon', 'devonic', 'dewey', 'dezaley', 'dhanvantari', 'dheneb', 'dhritarashtra', 'dhundia', 'diabrotica', 'diacromyodi', 'diadelphia', 'diadema', 'diadematoida', 'diadochi', 'diaguitas', 'diaguite', 'dialister', 'dialypetalae', 'diana', 'diancecht', 'diandria', 'diane', 'dianil', 'dianthaceae', 'dianthera', 'dianthus', 'diapensia', 'diapensiaceae', 'diaporthe', 'diapsida', 'diascia', 'diaspidinae', 'diaspinae', 'diaspora', 'diatoma', 'diatomaceae', 'diatomales', 'diatomeae', 'diatryma', 'diatrymiformes', 'diau', 'dibatis', 'dibothriocephalus', 'dibranchia', 'dibranchiata', 'dicaeidae', 'diccon', 'dicentra', 'diceras', 'diceratidae', 'dichapetalaceae', 'dichapetalum', 'dichelyma', 'dichondra', 'dichondraceae', 'dichorisandra', 'dichter', 'dickensiana', 'dicksonia', 'diclidantheraceae', 'diclytra', 'dicotyledones', 'dicotyles', 'dicotylidae', 'dicranaceae', 'dicranum', 'dicrostonyx', 'dicruridae', 'dictaen', 'dictamnus', 'dictaphone', 'dictograph', 'dictynidae', 'dictyoceratina', 'dictyograptus', 'dictyonema', 'dictyonina', 'dictyophora', 'dictyopteris', 'dictyosiphon', 'dictyosiphonaceae', 'dictyota', 'dictyotaceae', 'dictyotales', 'dictyoxylon', 'dicyclica', 'dicyema', 'dicyemata', 'dicyemida', 'dicyemidae', 'dicynodon', 'dicynodontia', 'dicynodontidae', 'didache', 'didachist', 'didelphia', 'didelphidae', 'didelphis', 'didelphyidae', 'dididae', 'didinium', 'dido', 'didunculidae', 'didunculinae', 'didunculus', 'didus', 'didynamia', 'dieffenbachia', 'diego', 'diegueno', 'dielytra', 'dieri', 'diervilla', 'dieyerie', 'difda', 'difflugia', 'digenea', 'digenetica', 'digitaria', 'digitigrada', 'digor', 'digynia', 'diipolia', 'dikelocephalus', 'dilantin', 'dilemi', 'dilemite', 'dillenia', 'dilleniaceae', 'dimaris', 'dimatis', 'dimera', 'dimetry', 'dimitry', 'dimittis', 'dimna', 'dimorphotheca', 'dimyaria', 'dinah', 'dinaric', 'dinarzade', 'dindymene', 'dindymus', 'dingwall', 'dinichthys', 'dinka', 'dinobryon', 'dinoceras', 'dinocerata', 'dinoceratidae', 'dinoflagellata', 'dinoflagellatae', 'dinoflagellida', 'dinomys', 'dinophilea', 'dinophilus', 'dinophyceae', 'dinornis', 'dinornithes', 'dinornithidae', 'dinornithiformes', 'dinosauria', 'dinotheres', 'dinotheriidae', 'dinotherium', 'dioctophyme', 'diodia', 'diodon', 'diodontidae', 'dioecia', 'diogenean', 'diogenic', 'diomedea', 'diomedeidae', 'dion', 'dionaea', 'dionaeaceae', 'dione', 'dionysia', 'dionysiac', 'dioon', 'diophantine', 'diopsidae', 'diopsis', 'dioptidae', 'dioscorea', 'dioscoreaceae', 'dioscuri', 'diosma', 'diospyraceae', 'diospyros', 'diotocardia', 'dipala', 'diphyes', 'diphylla', 'diphylleia', 'diphyllobothrium', 'diphysite', 'diphysitism', 'diplacanthidae', 'diplacanthus', 'dipladenia', 'diplocarpon', 'diplodia', 'diplodocus', 'diplodus', 'diploglossata', 'diplopoda', 'diploptera', 'diplopteryga', 'diplospondyli', 'diplotaxis', 'diplozoon', 'dipneumona', 'dipneumones', 'dipneusti', 'dipnoi', 'dipodidae', 'dipodomyinae', 'dipodomys', 'diprotodon', 'diprotodontia', 'dipsacaceae', 'dipsaceae', 'dipsacus', 'dipsadinae', 'dipsosaurus', 'diptera', 'dipteraceae', 'dipterocarpaceae', 'dipterocarpus', 'dipteryx', 'dipus', 'dirca', 'dircaean', 'directoire', 'disa', 'disamis', 'disciflorae', 'discina', 'discoglossidae', 'discoidea', 'discoideae', 'discomedusae', 'discomycetes', 'disconanthae', 'disconectae', 'discophora', 'discoplacentalia', 'discordia', 'dishley', 'disporum', 'distichlis', 'distoma', 'distomatidae', 'distomidae', 'distomum', 'dithyrambos', 'dithyrambus', 'ditremidae', 'ditrocha', 'diurna', 'divvers', 'dixiecrat', 'djagatay', 'djuka', 'docetae', 'docetism', 'docetist', 'docetize', 'docoglossa', 'dode', 'dodecatheon', 'dodona', 'dodonaea', 'dodonaeaceae', 'dodonaean', 'dodonean', 'doedicurus', 'doeg', 'dogberrydom', 'dogberryism', 'dogra', 'dogrib', 'doketism', 'dokmarok', 'doko', 'dol', 'dolichoglossus', 'dolicholus', 'dolichopsyllidae', 'dolichosauri', 'dolichosauria', 'dolichosaurus', 'dolichosoma', 'doliidae', 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'dracontium', 'dramamine', 'draparnaldia', 'drassidae', 'dravida', 'dravidic', 'drawcansir', 'dreissensia', 'drepanaspis', 'drepanidae', 'drepanididae', 'drepanis', 'dreparnaudia', 'dreyfusism', 'dreyfusist', 'drimys', 'drokpa', 'dromaeognathae', 'dromaeus', 'dromiacea', 'dromiceiidae', 'dromiceius', 'dromicia', 'dromornis', 'droschken', 'drosera', 'droseraceae', 'drosophila', 'drosophilidae', 'drosophyllum', 'drukpa', 'drupa', 'drupaceae', 'drusean', 'drusedom', 'drydenism', 'drynaria', 'dryobalanops', 'dryope', 'dryopes', 'dryophyllum', 'dryopians', 'dryopithecinae', 'dryopithecus', 'dryops', 'dryopteris', 'dschubba', 'duala', 'dualmutef', 'duane', 'dubhe', 'dubhgall', 'duboisia', 'dubonnet', 'duchesnea', 'duco', 'ducula', 'duculinae', 'dudleya', 'duessa', 'dugongidae', 'duhr', 'dulanganes', 'dulat', 'dulcin', 'dulcinea', 'dulcinist', 'dumontia', 'dumontiaceae', 'dunciad', 'dungan', 'dunkard', 'dunkirk', 'dunkirker', 'dunlap', 'dunlop', 'duns', 'duplicidentata', 'duralumin', 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'echinoidea', 'echinomys', 'echinopanax', 'echinops', 'echinorhinidae', 'echinorhinus', 'echinospermum', 'echinosphaerites', 'echinosphaeritidae', 'echinostoma', 'echinostomatidae', 'echinozoa', 'echis', 'echites', 'echium', 'echiurida', 'echiuroidea', 'echiurus', 'echuca', 'eciton', 'eckehart', 'eclectics', 'economite', 'ecthesis', 'ectocarpaceae', 'ectocarpales', 'ectocarpus', 'ectognatha', 'ectoparasitica', 'ectopistes', 'ectoprocta', 'ectotrophi', 'ecuadoran', 'ed', 'edana', 'edaphosauria', 'edaphosaurus', 'edda', 'eddaic', 'eddic', 'eddie', 'eden', 'edenization', 'edenize', 'edentata', 'edessan', 'edestosaurus', 'edgar', 'edith', 'ediya', 'edmond', 'edmund', 'edna', 'edo', 'edomite', 'edoni', 'edriasteroidea', 'edrioasteroid', 'edrioasteroidea', 'edriophthalma', 'eduardo', 'educabilia', 'eduskunta', 'edward', 'edwardean', 'edwardeanism', 'edwardine', 'edwardsia', 'edwardsiidae', 'edwin', 'edwina', 'effie', 'effodientia', 'efik', 'egba', 'egbert', 'egbo', 'egeria', 'eglamore', 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'eurymus', 'eurypelma', 'eurypharyngidae', 'eurypharynx', 'eurypterida', 'eurypteroidea', 'eurypterus', 'eurypyga', 'eurypygae', 'eurypygidae', 'eurystheus', 'eurytomidae', 'eurytus', 'euscaro', 'euselachii', 'euskaldun', 'euskara', 'euskaric', 'euskera', 'euspongia', 'eustace', 'eusthenopteron', 'eusuchia', 'eutaenia', 'euterpe', 'euterpean', 'euthamia', 'eutheria', 'euthycomi', 'euthyneura', 'eutopia', 'eutychianism', 'euxine', 'eva', 'evadne', 'evan', 'evangeline', 'evaniidae', 'evea', 'evehood', 'eveless', 'evelina', 'eveline', 'evelyn', 'eventognathi', 'everard', 'everett', 'evernia', 'evertebrata', 'evodia', 'evonymus', 'exaudi', 'excalibur', 'exchangite', 'excipulaceae', 'excoecaria', 'exmoor', 'exoascaceae', 'exoascales', 'exoascus', 'exobasidiaceae', 'exobasidiales', 'exobasidium', 'exochorda', 'exocoetidae', 'exocoetus', 'exocyclica', 'exocycloida', 'exogenae', 'exogonium', 'exogyra', 'exopterygota', 'exostema', 'extravagantes', 'ezekiel', 'ezra', 'faba', 'fabaceae', 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'fenzelia', 'ferae', 'ferahan', 'feramorz', 'ferdiad', 'fergus', 'ferguson', 'feringi', 'ferio', 'ferison', 'fernando', 'ferocactus', 'feronia', 'ferrara', 'fertil', 'fervidor', 'fesapo', 'fescennine', 'feste', 'festino', 'feuillants', 'fezzan', 'fezziwig', 'fianna', 'fiberglas', 'fibrospongiae', 'ficaria', 'fichtean', 'fichteanism', 'ficoidaceae', 'ficoideae', 'ficula', 'ficus', 'fidac', 'fidele', 'fidelia', 'fidelio', 'fides', 'fidessa', 'fidia', 'fido', 'fierabras', 'fierasfer', 'fierasferidae', 'figitidae', 'fiji', 'filago', 'filariidae', 'filibranchia', 'filicales', 'filices', 'filicineae', 'filicites', 'filicornia', 'filigera', 'filipendula', 'filipina', 'filipiniana', 'filipinization', 'filipinize', 'filipino', 'filix', 'filosa', 'fimbristylis', 'fingal', 'fingall', 'fingu', 'finlander', 'finmark', 'finn', 'finnicize', 'fionnuala', 'fioretti', 'fiot', 'firbolg', 'firmisternia', 'firnismalerei', 'firoloida', 'fissidens', 'fissidentaceae', 'fissilinguia', 'fissipeda', 'fissipedia', 'fissipes', 'fissirostres', 'fissurella', 'fissurellidae', 'fistulana', 'fistularia', 'fistulariidae', 'fistulina', 'fittonia', 'fitzclarence', 'fitzroy', 'fitzroya', 'fiuman', 'fjorgyn', 'flacianism', 'flacianist', 'flacourtia', 'flacourtiaceae', 'flagellaria', 'flagellariaceae', 'flagellata', 'flagellatae', 'flamandization', 'flamandize', 'flamingant', 'flaveria', 'flavia', 'flavius', 'flavobacterium', 'flem', 'fleming', 'fleta', 'fletcherism', 'fletcherite', 'fletcherize', 'flindersia', 'flo', 'floerkea', 'floralia', 'florentine', 'florentinism', 'floria', 'florida', 'floridan', 'florideae', 'florinda', 'florissant', 'floscularia', 'flosculariidae', 'flossie', 'floyd', 'flugelhorn', 'flustra', 'flutidae', 'flysch', 'fo', 'fodientia', 'foeniculum', 'foism', 'fokker', 'folkvang', 'folkvangr', 'folliculina', 'fomalhaut', 'fon', 'fontainea', 'fontinalaceae', 'fontinalis', 'foochow', 'foraminifera', 'forcipulata', 'fordicidia', 'forestiera', 'forficula', 'forficulidae', 'formalin', 'formica', 'formicariae', 'formicariidae', 'formicidae', 'formicina', 'formicinae', 'formicivora', 'formicoidea', 'formol', 'formosan', 'fornax', 'forst', 'forsythia', 'fortunella', 'fosite', 'fossores', 'fossoria', 'fothergilla', 'fouquieria', 'fouquieriaceae', 'fourierism', 'fourierist', 'fourierite', 'fracticipita', 'fragaria', 'fragilaria', 'fragilariaceae', 'fram', 'frances', 'francic', 'francis', 'franciscanism', 'francisco', 'francize', 'francois', 'francomania', 'francophile', 'francophilism', 'francophobe', 'francophobia', 'frangi', 'frangulaceae', 'frankenia', 'frankeniaceae', 'frankenstein', 'frankify', 'frankist', 'franklinia', 'frankliniana', 'franklinism', 'franklinist', 'franklinization', 'frasera', 'fratercula', 'fraticelli', 'fratricelli', 'fraxinus', 'fred', 'freddie', 'freddy', 'frederic', 'frederica', 'frederick', 'freechurchism', 'freekirker', 'freesia', 'fregata', 'fregatae', 'fregatidae', 'fremontia', 'fremontodendron', 'frenatae', 'frenchiness', 'frenchism', 'frenchize', 'frenchless', 'frenchman', 'frenchness', 'frenchwise', 'frenchwoman', 'frenchy', 'frenghi', 'freon', 'fresison', 'freudianism', 'freudism', 'freudist', 'freya', 'freycinetia', 'freyja', 'freyr', 'friday', 'fridila', 'frieda', 'frigidaire', 'frija', 'frimaire', 'fringetail', 'fringilla', 'fringillidae', 'fringilliformes', 'frisesomorum', 'frisii', 'fritillaria', 'fritz', 'froebelism', 'froebelist', 'frontignan', 'frontirostria', 'frothi', 'fructidor', 'frugivora', 'fucaceae', 'fucales', 'fuchsia', 'fucoideae', 'fuirena', 'fulah', 'fulfulde', 'fulgora', 'fulgoridae', 'fulgoroidea', 'fulgur', 'fulica', 'fulicinae', 'fuligula', 'fuligulinae', 'fulmarus', 'fultz', 'fulup', 'fumago', 'fumaria', 'fumariaceae', 'funaria', 'funariaceae', 'fundulinae', 'fundulus', 'fungales', 'fungia', 'funje', 'funkia', 'funtumia', 'furcellaria', 'furcraea', 'furfooz', 'furies', 'furlan', 'furnariidae', 'furnariides', 'furnarius', 'furud', 'fusarium', 'fusicladium', 'fusicoccum', 'fusiformis', 'fusulina', 'fusus', 'gabe', 'gaboon', 'gabriel', 'gabriella', 'gabrielrache', 'gadaba', 'gadarene', 'gadaria', 'gaddang', 'gadidae', 'gaditan', 'gadoidea', 'gadsbodikins', 'gadsbud', 'gadslid', 'gadswoons', 'gadus', 'gadzooks', 'gael', 'gaeldom', 'gaelicism', 'gaelicist', 'gaelicization', 'gaelicize', 'gaeltacht', 'gaetulan', 'gaetuli', 'gaffkya', 'gahrwali', 'gaia', 'gaidropsaridae', 'gail', 'gaillardia', 'galacaceae', 'galactia', 'galaginae', 'galago', 'galanthus', 'galatae', 'galax', 'galaxias', 'galaxiidae', 'galbula', 'galbulae', 'galbulidae', 'galbulinae', 'galcha', 'galega', 'galei', 'galeidae', 'galen', 'galenism', 'galenist', 'galeodes', 'galeodidae', 'galeopithecus', 'galeopsis', 'galeorchis', 'galeorhinidae', 'galeorhinus', 'galesaurus', 'galeus', 'galga', 'galgulidae', 'galibi', 'galictis', 'galidia', 'galidictis', 'galik', 'galilean', 'galinsoga', 'galium', 'gallegan', 'galleria', 'galleriidae', 'galli', 'gallicanism', 'gallicism', 'gallicization', 'gallicize', 'gallicizer', 'gallicolae', 'galliformes', 'gallify', 'gallinaceae', 'gallinacei', 'gallinae', 'gallinago', 'gallinula', 'gallinulinae', 'gallirallus', 'galloman', 'gallomania', 'gallomaniac', 'galloperdix', 'gallophile', 'gallophilism', 'gallophobe', 'gallophobia', 'gallus', 'galtonia', 'galusha', 'galways', 'gamaliel', 'gamasidae', 'gamasoidea', 'gambusia', 'gamelion', 'gammaridae', 'gammarus', 'gammexane', 'gamolepis', 'gamopetalae', 'ganapati', 'ganda', 'gandhara', 'gandharva', 'gandhiism', 'gandhism', 'gandhist', 'gangamopteris', 'ganguela', 'ganocephala', 'ganodonta', 'ganodus', 'ganoidei', 'ganymede', 'ganymedes', 'gaon', 'gaonate', 'garamond', 'garcinia', 'gardenia', 'gargantua', 'gargantuan', 'garhwali', 'garo', 'garrisonism', 'garrulinae', 'garrulus', 'garrya', 'garryaceae', 'garshuni', 'garuda', 'gary', 'gasan', 'gascon', 'gasconism', 'gaspar', 'gasterolichenes', 'gasteromycetes', 'gasterophilus', 'gasteropoda', 'gasterosteidae', 'gasterosteus', 'gasterotricha', 'gastornis', 'gastornithidae', 'gastraeadae', 'gastrochaena', 'gastrochaenidae', 'gastrolobium', 'gastrophilus', 'gastropoda', 'gastrostomus', 'gastrotricha', 'gatha', 'gaucho', 'gaudete', 'gaul', 'gaulic', 'gaulish', 'gaullism', 'gaullist', 'gaultheria', 'gaura', 'gavia', 'gaviae', 'gavialis', 'gaviiformes', 'gaylussacia', 'gaypoo', 'gazania', 'gazella', 'geadephaga', 'geaster', 'geatas', 'gecarcinidae', 'gecarcinus', 'geckotidae', 'gederathite', 'gederite', 'geechee', 'geez', 'gegenschein', 'geheimrat', 'gehenna', 'geikia', 'geisenheimer', 'geissoloma', 'geissolomataceae', 'geissorhiza', 'gekko', 'gekkones', 'gekkonidae', 'gekkota', 'gelasimus', 'gelastocoridae', 'gelechia', 'gelechiidae', 'gelfomino', 'gelidiaceae', 'gelidium', 'gellert', 'gelsemium', 'gemara', 'gemaric', 'gemarist', 'gemini', 'geminid', 'gemitores', 'gemmingia', 'generalidad', 'genesee', 'genesiac', 'genetta', 'geneura', 'genevan', 'genevieve', 'genevois', 'genny', 'genoa', 'genoveva', 'gentiana', 'gentianaceae', 'gentianales', 'gentoo', 'genyophrynidae', 'geococcyx', 'geoff', 'geoffrey', 'geoglossaceae', 'geoglossum', 'geometridae', 'geometrina', 'geometroidea', 'geomyidae', 'geomys', 'geon', 'geonim', 'geophila', 'geophilidae', 'geophilus', 'geoplana', 'geoplanidae', 'geopolitik', 'geoprumnon', 'geordie', 'george', 'georgemas', 'georgette', 'georgia', 'georgiana', 'georgie', 'geospiza', 'geoteuthis', 'geothlypis', 'gepeoo', 'gephyrea', 'gepidae', 'gerald', 'geraldine', 'geraniaceae', 'geraniales', 'geranomorphae', 'gerard', 'gerasene', 'gerbera', 'gerberia', 'gerbillinae', 'gerbillus', 'germanesque', 'germanhood', 'germania', 'germanics', 'germanification', 'germanify', 'germanish', 'germanism', 'germanist', 'germanizer', 'germanness', 'germanocentric', 'germanomania', 'germanomaniac', 'germanophile', 'germanophilist', 'germanophobe', 'germanophobia', 'germanophobic', 'germanophobist', 'germantown', 'geronomite', 'gerres', 'gerrhosauridae', 'gerridae', 'gershom', 'gershon', 'gershonite', 'gertie', 'gertrude', 'gervais', 'gervas', 'gervase', 'geryonia', 'geryonidae', 'geryoniidae', 'ges', 'gesan', 'geshurites', 'gesnera', 'gesneraceae', 'gesneriaceae', 'gestalt', 'gestapo', 'getae', 'getsul', 'geullah', 'ghan', 'ghassanid', 'ghaznevid', 'gheber', 'ghedda', 'gheg', 'ghegish', 'ghent', 'ghibelline', 'ghibellinism', 'ghilzai', 'ghiordes', 'ghuz', 'gi', 'giansar', 'gibberella', 'gibbi', 'gibeonite', 'gibraltar', 'gibson', 'gideon', 'gideonite', 'gienah', 'gifola', 'gigantopithecus', 'gigantosaurus', 'gigantostraca', 'gigartina', 'gigartinaceae', 'gigartinales', 'gigi', 'gil', 'gila', 'gilaki', 'gilbertianism', 'gileadite', 'gileno', 'giles', 'giliak', 'gillenia', 'gilles', 'gimirrai', 'ginglymodi', 'ginglymostoma', 'ginkgoaceae', 'ginkgoales', 'giottesque', 'giovanni', 'giraffa', 'giraffidae', 'girella', 'girellidae', 'girgashite', 'girgasite', 'girondin', 'girondism', 'girondist', 'gitanemuck', 'gitksan', 'gittite', 'giuseppe', 'gladstone', 'gladstonianism', 'gladys', 'glagol', 'glagolic', 'glagolitsa', 'glaniostomi', 'glareola', 'glareolidae', 'glassite', 'glathsheim', 'glathsheimr', 'glaucidium', 'glaucionetta', 'glaucium', 'glaucomys', 'glauconia', 'glauconiidae', 'glaucopis', 'glauke', 'glaux', 'glecoma', 'gleditsia', 'glengarry', 'glenn', 'glires', 'gliridae', 'gliriformia', 'glis', 'glitnir', 'globicephala', 'globigerina', 'globigerinidae', 'globiocephalus', 'globularia', 'globulariaceae', 'gloeocapsa', 'gloeosporium', 'gloiopeltis', 'gloiosiphonia', 'gloiosiphoniaceae', 'glomerella', 'gloria', 'gloriana', 'gloriosa', 'glossata', 'glossina', 'glossiphonia', 'glossiphonidae', 'glossophaga', 'glossophora', 'glossopteris', 'glossotherium', 'gloucester', 'gloxinia', 'glumaceae', 'glumales', 'glumiflorae', 'gluneamie', 'glyceria', 'glycyrrhiza', 'glynn', 'glyptodon', 'glyptodontidae', 'glyptotherium', 'gmelina', 'gnaeus', 'gnaphalium', 'gnatho', 'gnathobdellae', 'gnathobdellida', 'gnathopoda', 'gnathostoma', 'gnathostomata', 'gnathostomi', 'gnetaceae', 'gnetales', 'gnetum', 'gnomonia', 'gnomoniaceae', 'gnosticism', 'goajiro', 'goala', 'goan', 'goasila', 'gobia', 'gobiesocidae', 'gobiesox', 'gobiidae', 'gobiiformes', 'gobinism', 'gobinist', 'gobio', 'gobioidea', 'gobioidei', 'goddam', 'godetia', 'godforsaken', 'godfrey', 'godiva', 'godsake', 'godspeed', 'godward', 'godwin', 'goemagot', 'goemot', 'goetae', 'gohila', 'goidel', 'goidelic', 'gokuraku', 'golconda', 'goldbird', 'goldenmouth', 'goldi', 'goldic', 'golgi', 'golgotha', 'goll', 'golo', 'goma', 'gomarist', 'gomarite', 'gomeisa', 'gomontia', 'gomorrhean', 'gomphocarpus', 'gompholobium', 'gomphrena', 'gona', 'gond', 'gondi', 'goneril', 'gongoresque', 'gongorism', 'gongorist', 'goniaster', 'goniatites', 'goniatitidae', 'goniodoridae', 'goniodorididae', 'goniodoris', 'goniopholidae', 'goniopholis', 'gonolobus', 'gonystylaceae', 'gonystylus', 'gonzalo', 'goodenia', 'goodeniaceae', 'goodenoviaceae', 'goodyera', 'goop', 'gordiacea', 'gordiidae', 'gordioidea', 'gordius', 'gordon', 'gordonia', 'gordyaean', 'gorgon', 'gorgonacea', 'gorgonia', 'gorgoniacea', 'gorgonzola', 'gorgosaurus', 'gorkhali', 'gorkiesque', 'gortonite', 'goshen', 'gosplan', 'gossypium', 'goth', 'gotha', 'gotham', 'gothamite', 'gothicism', 'gothicist', 'gothicity', 'gothicize', 'gothicizer', 'gothicness', 'gothish', 'gothism', 'gothlander', 'gottfried', 'gottlieb', 'gouda', 'goudy', 'goura', 'gourinae', 'goyana', 'gracilaria', 'gracilariidae', 'graculus', 'gradgrindish', 'gradgrindism', 'gradientia', 'graeae', 'graeculus', 'graeme', 'graffias', 'grallae', 'grallatores', 'grallina', 'graminaceae', 'gramineae', 'grammatophyllum', 'grammontine', 'granadine', 'grandisonianism', 'grandmontine', 'grangousier', 'granth', 'grantha', 'grantia', 'grantiidae', 'granville', 'graphidiaceae', 'graphiola', 'graphis', 'graphium', 'grapsidae', 'grapsus', 'grapta', 'graptolitha', 'graptolithida', 'graptolithina', 'graptolitoidea', 'graptoloidea', 'gratia', 'gratiano', 'gratiola', 'gravenstein', 'graves', 'gravigrada', 'grebo', 'grecianize', 'grecism', 'grecize', 'grecomania', 'grecomaniac', 'grecophil', 'greekdom', 'greekery', 'greekess', 'greekish', 'greekism', 'greekist', 'greekize', 'greekless', 'greekling', 'greenbacker', 'greenbackism', 'greencloth', 'greenland', 'greenlander', 'greenlandic', 'greenlandish', 'greenlandman', 'greenwich', 'greg', 'gregarina', 'gregarinae', 'gregarinaria', 'gregarinida', 'gregarinina', 'gregarinoidea', 'gregg', 'gregge', 'gregor', 'gregorianist', 'gregorianize', 'gregorianizer', 'gregory', 'grendel', 'grenelle', 'gressoria', 'greta', 'gretchen', 'gretel', 'grevillea', 'grewia', 'greyiaceae', 'griffith', 'grimmia', 'grimmiaceae', 'grindelia', 'grinnellia', 'griphosaurus', 'griqua', 'griqualander', 'griselda', 'grissel', 'gristhorbia', 'grizel', 'grizzel', 'groenendael', 'grolier', 'grolieresque', 'gromia', 'grossulariaceae', 'grotianism', 'grues', 'gruidae', 'gruiformes', 'gruis', 'grumium', 'grundified', 'grundlov', 'grundyism', 'grundyist', 'grundyite', 'grunth', 'grus', 'gryllidae', 'gryllotalpa', 'gryphaea', 'gryphosaurus', 'grypotherium', 'guacho', 'guacico', 'guadagnini', 'guaharibo', 'guahiban', 'guahibo', 'guahivo', 'gualaca', 'guanche', 'guaque', 'guaraunan', 'guarauno', 'guarea', 'guarnerius', 'guarnieri', 'guarrau', 'guaruan', 'guastalline', 'guatemalan', 'guato', 'guatoan', 'guatusan', 'guatuso', 'guauaenok', 'guayaqui', 'guaycuru', 'guaycuruan', 'guaymie', 'guazuma', 'gubbin', 'guelph', 'guelphish', 'guelphism', 'guerinet', 'guesdism', 'guesdist', 'guetar', 'guetare', 'guha', 'guhayna', 'guiana', 'guianan', 'guido', 'guignardia', 'guilandina', 'guillermo', 'guineaman', 'guinean', 'gujar', 'gujarati', 'gujrati', 'gulanganes', 'gullah', 'gulo', 'gunnar', 'gunnera', 'gunneraceae', 'gunther', 'gunz', 'guran', 'guric', 'gurish', 'gurjara', 'gurkha', 'gurmukhi', 'gurneyite', 'gus', 'gustavus', 'gustus', 'guti', 'gutium', 'gutnish', 'guttera', 'guttiferae', 'guttiferales', 'guyandot', 'guzul', 'gwen', 'gwendolen', 'gyarung', 'gyges', 'gygis', 'gymnadenia', 'gymnadeniopsis', 'gymnanthes', 'gymnarchidae', 'gymnarchus', 'gymnoblastea', 'gymnocalycium', 'gymnocerata', 'gymnocladus', 'gymnoconia', 'gymnoderinae', 'gymnodiniaceae', 'gymnodiniidae', 'gymnodinium', 'gymnodontes', 'gymnoglossa', 'gymnogyps', 'gymnolaema', 'gymnolaemata', 'gymnonoti', 'gymnopaedes', 'gymnorhina', 'gymnorhininae', 'gymnospermae', 'gymnosporangium', 'gymnostomata', 'gymnostomina', 'gymnothorax', 'gymnotidae', 'gymnotoka', 'gymnotus', 'gymnura', 'gymnurinae', 'gynerium', 'gynura', 'gypaetus', 'gyppo', 'gyracanthus', 'gyrencephala', 'gyrinidae', 'gyrinus', 'gyroceras', 'gyrodactylidae', 'gyrodactylus', 'gyromitra', 'gyrophora', 'gyrophoraceae', 'gyrostachys', 'gyrotheca', 'habab', 'habbe', 'habe', 'habenaria', 'habiri', 'habiru', 'habronema', 'hachiman', 'hadassah', 'hadean', 'hadendoa', 'hadendowa', 'hadentomoidea', 'hades', 'hadith', 'hadjemi', 'hadromerina', 'hadrosaurus', 'haeckelism', 'haemamoeba', 'haemanthus', 'haemaphysalis', 'haematobranchia', 'haematocrya', 'haematophilina', 'haematopus', 'haematotherma', 'haematoxylon', 'haemodoraceae', 'haemogregarina', 'haemogregarinidae', 'haemonchus', 'haemoproteus', 'haemosporidia', 'haemosporidium', 'haemulidae', 'hafgan', 'haganah', 'hagarite', 'hagenia', 'hagiographa', 'hahnemannism', 'haiathalah', 'haida', 'haidan', 'haidee', 'haiduk', 'haikh', 'haimavati', 'hainai', 'hainan', 'haisla', 'haithal', 'hakea', 'hakenkreuzler', 'hakka', 'hal', 'halawi', 'halcyonidae', 'halcyoninae', 'haldanite', 'halecomorphi', 'halenia', 'halesia', 'haliaeetus', 'halicarnassean', 'halichondriae', 'halicore', 'halicoridae', 'halimeda', 'haliotidae', 'haliotis', 'haliplidae', 'haliserites', 'halitheriidae', 'halitherium', 'halleyan', 'hallopididae', 'hallopus', 'hallowday', 'halloween', 'hallowmas', 'hallowtide', 'hallstatt', 'haloa', 'halobates', 'halocynthiidae', 'halogeton', 'halopsyche', 'halopsychidae', 'haloragidaceae', 'halosauridae', 'halosaurus', 'halosphaera', 'halteridium', 'haltica', 'halysites', 'hamadan', 'hamamelidaceae', 'hamamelidanthemum', 'hamamelidoxylon', 'hamamelis', 'hamamelites', 'hamathite', 'hamelia', 'hamidieh', 'hamilton', 'hamiltonianism', 'hamiltonism', 'hamital', 'hamite', 'hamites', 'hamiticized', 'hamitism', 'hamitoid', 'hampshire', 'hamulites', 'hanafi', 'hanafite', 'hanbalite', 'hannibal', 'hannibalic', 'hano', 'hanoverianize', 'hanoverize', 'hans', 'hansard', 'hansardization', 'hansardize', 'hanukkah', 'hanuman', 'hapale', 'hapalidae', 'hapalotis', 'hapi', 'haplodoci', 'haplodon', 'haplomi', 'harari', 'haratin', 'haraya', 'harb', 'hardenbergia', 'hardwickia', 'harelda', 'harlemite', 'harmachis', 'harmon', 'harmonite', 'harold', 'harpa', 'harpagornis', 'harpalides', 'harpalinae', 'harpalus', 'harpidae', 'harpocrates', 'harporhynchus', 'harpullia', 'harpy', 'harpyia', 'harris', 'harrisia', 'hartleyan', 'hartmann', 'hartmannia', 'hartogia', 'hartungen', 'harv', 'harvard', 'harvardize', 'harvey', 'harveyize', 'hashimite', 'hashiya', 'hasidean', 'hasidim', 'hasidism', 'hasinai', 'haskalah', 'hasmonaean', 'hathor', 'hathoric', 'hati', 'hatikvah', 'hattemist', 'hatteria', 'hatti', 'hattie', 'hattism', 'hattize', 'hausa', 'haussmannization', 'haussmannize', 'havaiki', 'havana', 'hawiya', 'hawkeye', 'haworthia', 'hazara', 'heautontimorumenos', 'hebraean', 'hebraic', 'hebraica', 'hebraicize', 'hebraism', 'hebraist', 'hebraization', 'hebraize', 'hebraizer', 'hebrew', 'hebrewdom', 'hebrewess', 'hebrewism', 'hebridean', 'hecate', 'hecatean', 'hecatine', 'hecatombaeon', 'hechtia', 'heckerism', 'hectorean', 'hedeoma', 'hedera', 'hedychium', 'hedysarum', 'hegelianism', 'hegelianize', 'hegelizer', 'hehe', 'heidi', 'heikum', 'heiltsuk', 'hein', 'heinesque', 'heinie', 'heinrich', 'heinz', 'hejazi', 'helen', 'helena', 'helenium', 'helenus', 'helge', 'heliaea', 'heliamphora', 'heliand', 'helianthemum', 'helianthium', 'helianthoidea', 'helianthoidean', 'helianthus', 'helicidae', 'helicina', 'helicinidae', 'heliconia', 'heliconiidae', 'heliconiinae', 'heliconius', 'helicteres', 'heligmus', 'heliogabalize', 'heliogabalus', 'heliolites', 'heliolitidae', 'helion', 'heliopora', 'helioporidae', 'heliopsis', 'heliornis', 'heliornithes', 'heliornithidae', 'helios', 'heliothis', 'heliotropiaceae', 'heliotropium', 'heliozoa', 'helipterum', 'helladic', 'helladotherium', 'helleborine', 'helleborus', 'hellelt', 'hellen', 'hellene', 'hellenicism', 'hellenism', 'hellenist', 'hellenisticism', 'hellenization', 'hellenize', 'hellenizer', 'hellenocentric', 'hellenophile', 'hellespont', 'hellespontine', 'helminthes', 'helminthocladiaceae', 'helminthosporium', 'heloderma', 'helodermatidae', 'helonias', 'helot', 'helvella', 'helvellaceae', 'helvellales', 'helvetia', 'helvetii', 'hemerobaptism', 'hemerobaptist', 'hemerobiid', 'hemerobiidae', 'hemerobius', 'hemerocallis', 'hemiascales', 'hemiasci', 'hemiascomycetes', 'hemibasidiales', 'hemibasidii', 'hemibasidiomycetes', 'hemibranchii', 'hemichorda', 'hemidactylus', 'hemigale', 'hemigalus', 'hemiganus', 'hemileia', 'hemimeridae', 'hemimerus', 'hemimetabola', 'hemimyaria', 'hemipodii', 'hemipodius', 'hemiptera', 'hemiramphidae', 'hemiramphinae', 'hemiramphus', 'hemophileae', 'hemophilus', 'hennebique', 'henrietta', 'hepaticae', 'hephaesteum', 'hephaestus', 'hepialidae', 'hepialus', 'heptameron', 'heptanchus', 'heptatrema', 'heptranchias', 'heraclean', 'heracleidan', 'heracleonite', 'heracleopolitan', 'heracleopolite', 'heracleum', 'heraclid', 'heraclidae', 'heraclidan', 'heraclitean', 'heracliteanism', 'heraclitism', 'herakles', 'herat', 'herbartianism', 'herbert', 'herbivora', 'herculanean', 'herculean', 'hercules', 'herculid', 'hereford', 'herero', 'heritiera', 'herman', 'hermaphroditus', 'hermes', 'hermesianism', 'hermetics', 'hermetism', 'hermetist', 'herminone', 'hermione', 'hermo', 'hernandia', 'hernandiaceae', 'herniaria', 'herodii', 'herodiones', 'heroides', 'herophile', 'herophilist', 'herpestes', 'herpestinae', 'herpetomonas', 'herpotrichia', 'herrenvolk', 'herrnhuter', 'heruli', 'hervati', 'herve', 'hesiodic', 'hesione', 'hesionidae', 'hesper', 'hespera', 'hesperia', 'hesperic', 'hesperides', 'hesperiidae', 'hesperis', 'hesperornis', 'hesperornithes', 'hesperornithiformes', 'hesperus', 'hester', 'hesther', 'hesychasm', 'hesychast', 'heterakis', 'heteralocha', 'heterocarpus', 'heterocera', 'heterochloridales', 'heterocoela', 'heterocotylea', 'heterodactylae', 'heterodera', 'heterodon', 'heterodonta', 'heterodontidae', 'heterodontus', 'heterognathi', 'heterogyna', 'heterokontae', 'heteromeles', 'heteromera', 'heteromeran', 'heteromeri', 'heterometabola', 'heteromi', 'heteromita', 'heteromorpha', 'heteromorphae', 'heteromya', 'heteromyaria', 'heteromyidae', 'heteromys', 'heteroneura', 'heteroousiast', 'heterophaga', 'heterophagi', 'heteropia', 'heteropidae', 'heteropoda', 'heteroptera', 'heterorhachis', 'heterosiphonales', 'heterosomata', 'heterosomati', 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'paccanarist', 'pachons', 'pacht', 'pachydermata', 'pachylophus', 'pachyma', 'pachyrhizus', 'pachysandra', 'pachystima', 'pachytylus', 'pacolet', 'pactolus', 'padda', 'paddyism', 'paddywack', 'padina', 'padraic', 'padraig', 'paduan', 'paduanism', 'padus', 'paeonia', 'paeoniaceae', 'paganalia', 'pagiopoda', 'paguma', 'paguridae', 'paguridea', 'pagurinea', 'paguroidea', 'pagurus', 'pahareen', 'pahari', 'paharia', 'pahouin', 'paiconeca', 'paisley', 'paiute', 'pajonism', 'pakawa', 'pakawan', 'pakhpuluk', 'pakhtun', 'pakistani', 'pala', 'palaeechini', 'palaeechinoidea', 'palaeeudyptes', 'palaeic', 'palaeichthyes', 'palaemon', 'palaemonidae', 'palaeoanthropus', 'palaeocarida', 'palaeocene', 'palaeoconcha', 'palaeocrinoidea', 'palaeodictyoptera', 'palaeogaea', 'palaeogaean', 'palaeognathae', 'palaeomastodon', 'palaeonemertea', 'palaeonemertinea', 'palaeonemertini', 'palaeoniscidae', 'palaeoniscum', 'palaeoniscus', 'palaeophis', 'palaeornis', 'palaeornithinae', 'palaeosaurus', 'palaeospondylus', 'palaeostraca', 'palaeothentes', 'palaeothentidae', 'palaeotheriidae', 'palaeotherium', 'palaeozoic', 'palaic', 'palaihnihan', 'palamedea', 'palamedeidae', 'palamite', 'palamitism', 'palapteryx', 'palaquium', 'palatua', 'palau', 'palaung', 'paleman', 'palenque', 'paleoanthropus', 'paleocene', 'paleoconcha', 'paleogene', 'paleozoic', 'palermitan', 'palermo', 'pales', 'palesman', 'palicourea', 'palilia', 'palilicium', 'palinuridae', 'palinurus', 'paliurus', 'palladianism', 'pallas', 'palliobranchiata', 'palliyan', 'pallu', 'palluites', 'palmaceae', 'palmae', 'palmella', 'palmellaceae', 'palmipedes', 'palmyrene', 'palpicornia', 'palta', 'paludicella', 'paludicolae', 'paludina', 'pamela', 'pamir', 'pamiri', 'pamlico', 'pampanga', 'pampangan', 'pampango', 'pamphiliidae', 'pamphilius', 'pamunkey', 'panagia', 'panak', 'panaka', 'panaman', 'panamano', 'panamic', 'panamint', 'panamist', 'panathenaea', 'panathenaean', 'panathenaic', 'panayan', 'panayano', 'pandanaceae', 'pandanales', 'pandanus', 'pandarctos', 'pandarus', 'pandean', 'pandectist', 'pandemos', 'panderma', 'pandion', 'pandionidae', 'pandorea', 'pandoridae', 'pandorina', 'pandosto', 'pangaea', 'pangasinan', 'pangium', 'pangloss', 'pangwe', 'panhellenic', 'panhellenios', 'panhellenism', 'panhellenist', 'panhellenium', 'pani', 'panicularia', 'panicum', 'paninean', 'panionia', 'panionic', 'paniquita', 'paniquitan', 'panjabi', 'panna', 'pannonic', 'panoan', 'panorpa', 'panorpatae', 'panorpidae', 'panos', 'panpipe', 'pantagruel', 'pantagruelic', 'pantagrueline', 'pantagruelism', 'pantagruelist', 'pantagruelize', 'pantalone', 'pantastomatida', 'pantastomina', 'pantelis', 'pantocrator', 'pantodon', 'pantodontidae', 'pantopoda', 'pantostomata', 'pantotheria', 'panzer', 'paola', 'papago', 'papaver', 'papaveraceae', 'papaverales', 'papayaceae', 'paphiopedilum', 'papiamento', 'papilio', 'papilionaceae', 'papiliones', 'papilionidae', 'papilionides', 'papilioninae', 'papilionoidea', 'papinachois', 'papio', 'pappea', 'papuan', 'paque', 'paracelsianism', 'paracelsist', 'paracelsus', 'paracress', 'paradisea', 'paradiseidae', 'paradiseinae', 'paradisia', 'paradoxides', 'paradoxurinae', 'paradoxurus', 'paragonimus', 'paraguay', 'paraguayan', 'parahippus', 'paraiyan', 'paralipomenon', 'paramecidae', 'paramecium', 'paramoecium', 'paranthropus', 'parapaguridae', 'parapsida', 'pararctalia', 'parasita', 'parasitica', 'parasitidae', 'parasuchia', 'paratheria', 'parazoa', 'parbate', 'pardanthus', 'pareiasauri', 'pareiasauria', 'pareiasaurus', 'pareioplitae', 'parentalia', 'pareoean', 'pariasauria', 'pariasaurus', 'paridae', 'parietales', 'parietaria', 'parilia', 'parilicium', 'parinarium', 'paris', 'parisianism', 'parisianization', 'parisianize', 'parisii', 'pariti', 'paritium', 'parkinsonia', 'parkinsonism', 'parlatoria', 'parmelia', 'parmeliaceae', 'parmentiera', 'parmesan', 'parnassia', 'parnassiaceae', 'parnassianism', 'parnassiinae', 'parnassism', 'parnassus', 'parnellism', 'parnellite', 'parosela', 'parotia', 'parra', 'parridae', 'parsee', 'parseeism', 'parsi', 'parsiism', 'parsism', 'parsonsia', 'partheniae', 'parthenium', 'parthenocissus', 'parthenolatry', 'parthenon', 'parthenopaeus', 'parthenope', 'parthenopean', 'parthenos', 'parukutu', 'parus', 'pasch', 'pascha', 'paschaltide', 'pashto', 'pasitelean', 'paspalum', 'pasquino', 'passalidae', 'passalus', 'passamaquoddy', 'passeres', 'passeriformes', 'passerina', 'passiflora', 'passifloraceae', 'passiflorales', 'passiontide', 'pasteurella', 'pasteurelleae', 'pastinaca', 'patagones', 'pataria', 'patarin', 'patarine', 'patarinism', 'patellidae', 'pathan', 'pathrusim', 'patmos', 'patricia', 'patricio', 'patrick', 'patriofelis', 'patripassianism', 'patripassianist', 'patsy', 'patuxent', 'patwin', 'paul', 'paula', 'pauliad', 'paulianist', 'paulicianism', 'paulina', 'pauline', 'paulinia', 'paulinism', 'paulinist', 'paulinity', 'paulinize', 'paulinus', 'paulism', 'paulist', 'paulista', 'paulite', 'paulownia', 'paulus', 'paumari', 'paurometabola', 'pauropoda', 'paussidae', 'pavetta', 'pavia', 'paviotso', 'pavo', 'pavoncella', 'pavonia', 'pawtucket', 'paxillosa', 'payagua', 'payaguan', 'payni', 'paynize', 'pazend', 'peban', 'pecksniffianism', 'pecksniffism', 'pecopteris', 'pecora', 'pecos', 'pectinacea', 'pectinibranchia', 'pectinibranchiata', 'pectinidae', 'pectunculus', 'pedaliaceae', 'pedalion', 'pedalium', 'pedata', 'pedetes', 'pedetidae', 'pedetinae', 'pediastrum', 'pedicellina', 'pedicularia', 'pedicularis', 'pediculati', 'pediculi', 'pediculidae', 'pediculina', 'pediculus', 'pedimana', 'pedioecetes', 'pedionomus', 'pedipalpi', 'pedipalpida', 'pedunculata', 'peelism', 'peelite', 'peganum', 'pegasean', 'pegasidae', 'pegasus', 'peguan', 'pehlevi', 'pehuenche', 'peitho', 'peking', 'pelagianism', 'pelagianize', 'pelagianizer', 'pelagothuria', 'pelargi', 'pelargikon', 'pelargomorphae', 'pelasgi', 'pelasgic', 'pelasgikon', 'pelasgoi', 'pele', 'pelecani', 'pelecanidae', 'pelecaniformes', 'pelecanoides', 'pelecanoidinae', 'pelecanus', 'pelecypoda', 'peleus', 'pelew', 'pelias', 'pelides', 'pelidnota', 'pellaea', 'pelmanism', 'pelmanist', 'pelmanize', 'pelmatozoa', 'pelobates', 'pelobatidae', 'pelodytes', 'pelodytidae', 'pelomedusa', 'pelomedusidae', 'pelomyxa', 'pelopaeus', 'pelopid', 'pelopidae', 'pelops', 'peltandra', 'peltigera', 'peltigeraceae', 'peltogaster', 'pelusios', 'pelvetia', 'pelycosauria', 'pembroke', 'penaea', 'penaeaceae', 'penelope', 'penelopean', 'penelophon', 'penelopinae', 'penicillium', 'penitentes', 'pennacook', 'pennales', 'pennaria', 'pennariidae', 'pennatae', 'pennatula', 'pennatulacea', 'pennatulidae', 'pennisetum', 'pennsylvania', 'penobscot', 'pensacola', 'pentacrinidae', 'pentacrinus', 'pentadactyla', 'pentagynia', 'pentamera', 'pentameridae', 'pentamerus', 'pentandria', 'pentaphylacaceae', 'pentaphylax', 'pentastomida', 'pentastomum', 'pentatomidae', 'pentatomoidea', 'pentecost', 'pentelic', 'penthestes', 'penthoraceae', 'penthorum', 'pentremites', 'pentremitidae', 'pentstemon', 'pentzia', 'peoria', 'peperomia', 'pephredo', 'pequot', 'peracarida', 'perakim', 'perameles', 'peramelidae', 'peramium', 'peratae', 'perates', 'perca', 'percesoces', 'perceval', 'percheron', 'percidae', 'perciformes', 'percival', 'percoidea', 'percomorphi', 'percy', 'perdicinae', 'perdix', 'perean', 'perennibranchiata', 'pereskia', 'perforata', 'pergamene', 'pergamic', 'periclean', 'pericles', 'pericu', 'peridermium', 'peridineae', 'peridiniaceae', 'peridiniales', 'peridinidae', 'peridinieae', 'peridiniidae', 'peridinium', 'perilla', 'peripateticism', 'peripatidae', 'peripatidea', 'peripatopsidae', 'peripatopsis', 'peripatus', 'periplaneta', 'periploca', 'perisphinctes', 'perisphinctidae', 'perisporiaceae', 'perisporiales', 'perissodactyla', 'peristeromorphae', 'peristeropodes', 'peritricha', 'perla', 'perlaria', 'perlidae', 'permiak', 'pernettia', 'pernis', 'perodipus', 'perognathinae', 'perognathus', 'peromedusae', 'peromela', 'peromyscus', 'peronospora', 'peronosporaceae', 'peronosporales', 'peropoda', 'perrinist', 'persae', 'persea', 'perseid', 'persephassa', 'persephone', 'persepolitan', 'persianist', 'persianization', 'persianize', 'persicaria', 'persicize', 'persism', 'pertusaria', 'pertusariaceae', 'peru', 'peruginesque', 'perularia', 'perun', 'peruvianize', 'pesach', 'pesah', 'pestalozzianism', 'petalia', 'petaliidae', 'petalodontidae', 'petalodus', 'petalostemon', 'petasites', 'petaurista', 'petauristidae', 'petauroides', 'petaurus', 'peterkin', 'peterloo', 'petiolata', 'petioliventres', 'petiveria', 'petiveriaceae', 'petr', 'petrarchal', 'petrarchan', 'petrarchesque', 'petrarchianism', 'petrarchism', 'petrarchist', 'petrarchize', 'petrea', 'petricola', 'petricolidae', 'petrine', 'petrinism', 'petrinist', 'petrinize', 'petrobium', 'petrogale', 'petromyzon', 'petromyzonidae', 'petromyzontes', 'petromyzontidae', 'petroselinum', 'petunia', 'peucedanum', 'peucetii', 'peul', 'peumus', 'peziza', 'pezizaceae', 'pezizales', 'pezophaps', 'pfeifferella', 'phaca', 'phacelia', 'phacidiaceae', 'phacidiales', 'phacochoerus', 'phacopidae', 'phacops', 'phaedo', 'phaenogamia', 'phaeodaria', 'phaeophyceae', 'phaeophyta', 'phaeosporales', 'phaeosporeae', 'phaet', 'phaethon', 'phaethonic', 'phaethontes', 'phaethontidae', 'phaethusa', 'phagineae', 'phainopepla', 'phajus', 'phalacrocoracidae', 'phalacrocorax', 'phalaecean', 'phalaenae', 'phalaenidae', 'phalaenopsis', 'phalangeridae', 'phalangerinae', 'phalangida', 'phalangidea', 'phalangides', 'phalangigrada', 'phalangiidae', 'phalangista', 'phalangistidae', 'phalangium', 'phalaris', 'phalarism', 'phalaropodidae', 'phallaceae', 'phallales', 'phanar', 'phanariot', 'phanariote', 'phanerocarpae', 'phanerocephala', 'phanerogamia', 'phaneroglossa', 'phanerozonia', 'phantasiast', 'phantasmist', 'phantomist', 'pharaoh', 'pharaonic', 'pharbitis', 'phareodus', 'pharisaean', 'pharisaic', 'pharisaism', 'pharisaist', 'pharisean', 'phariseeism', 'pharomacrus', 'pharyngobranchii', 'pharyngognathi', 'pharyngopneusta', 'phascaceae', 'phascogale', 'phascolarctinae', 'phascolarctos', 'phascolomyidae', 'phascolomys', 'phascolonus', 'phascum', 'phaseolaceae', 'phaseolus', 'phasianella', 'phasianellidae', 'phasianidae', 'phasianinae', 'phasianus', 'phasiron', 'phasmatida', 'phasmatidae', 'phasmatodea', 'phasmatoidea', 'phasmida', 'phasmidae', 'phebe', 'phecda', 'phegopteris', 'pheidole', 'phellodendron', 'phemie', 'phenacodontidae', 'phenacodus', 'phenalgin', 'pheny', 'pherecratean', 'pherephatta', 'pherkad', 'pherophatta', 'phersephatta', 'phersephoneia', 'phidiac', 'phil', 'philadelphianism', 'philadelphus', 'philanthidae', 'philanthropinum', 'philanthus', 'philathea', 'philepitta', 'philepittidae', 'philesia', 'philetaerus', 'philip', 'philippa', 'philippan', 'philippe', 'philippic', 'philippine', 'philippines', 'philippism', 'philippist', 'philippizate', 'philistia', 'philistine', 'philistinic', 'philistinish', 'philistinism', 'philistinize', 'phill', 'phillip', 'phillis', 'phillyrea', 'philoctetes', 'philodendron', 'philodina', 'philodinidae', 'philohela', 'philomachus', 'philomela', 'philonic', 'philonism', 'philonist', 'philopteridae', 'philotria', 'philydraceae', 'philyra', 'phineas', 'phiomia', 'phiroze', 'phlebodium', 'phlegethon', 'phlegethontal', 'phleum', 'phlomis', 'phobos', 'phocaean', 'phocaena', 'phocaenina', 'phocean', 'phocidae', 'phocinae', 'phocodontia', 'phocoena', 'phoebean', 'phoenicaceae', 'phoenicales', 'phoenicianism', 'phoenicid', 'phoenicize', 'phoenicopteridae', 'phoenicopteriformes', 'phoenicopteroideae', 'phoenicopterus', 'phoeniculidae', 'phoeniculus', 'pholadacea', 'pholadidae', 'pholadinea', 'pholas', 'pholcidae', 'pholcus', 'pholidota', 'pholiota', 'phoma', 'phomopsis', 'phonelescope', 'phora', 'phoradendron', 'phoridae', 'phormium', 'phoronida', 'phoronidea', 'phoronis', 'phororhacidae', 'phororhacos', 'photinia', 'photinianism', 'photobacterium', 'phractamphibia', 'phragmidium', 'phragmites', 'phragmocyttares', 'phronima', 'phronimidae', 'phryganea', 'phryganeidae', 'phrygianize', 'phryma', 'phrymaceae', 'phrynidae', 'phrynosoma', 'phthartolatrae', 'phthirius', 'phyciodes', 'phycitidae', 'phycochromophyceae', 'phycodromidae', 'phycomyces', 'phycomycetes', 'phylactolaema', 'phylactolaemata', 'phylactolema', 'phylactolemata', 'phyllachora', 'phyllactinia', 'phyllanthus', 'phyllaurea', 'phyllis', 'phyllitis', 'phyllium', 'phyllocactus', 'phyllocarida', 'phylloceras', 'phylloceratidae', 'phyllodoce', 'phyllophaga', 'phyllopoda', 'phyllopteryx', 'phylloscopus', 'phyllosomata', 'phyllospondyli', 'phyllostachys', 'phyllosticta', 'phyllostoma', 'phyllostomatidae', 'phyllostomatinae', 'phyllostomidae', 'phyllostominae', 'phyllostomus', 'phylloxera', 'phylloxeridae', 'phymatidae', 'phymatodes', 'phymosia', 'physa', 'physalia', 'physaliidae', 'physalis', 'physalospora', 'physapoda', 'physaria', 'physcia', 'physciaceae', 'physcomitrium', 'physeter', 'physeteridae', 'physeterinae', 'physeteroidea', 'physidae', 'physocarpus', 'physoclisti', 'physoderma', 'physonectae', 'physophorae', 'physopoda', 'physostegia', 'physostigma', 'physostomi', 'phytelephas', 'phyteus', 'phytoflagellata', 'phytolacca', 'phytolaccaceae', 'phytomastigina', 'phytomastigoda', 'phytomonadida', 'phytomonadina', 'phytomonas', 'phytophaga', 'phytophagineae', 'phytophthora', 'phytoptidae', 'phytoptus', 'phytosauria', 'phytotoma', 'phytotomidae', 'phytozoa', 'phytozoaria', 'piankashaw', 'pianokoto', 'piarist', 'piaroa', 'piaroan', 'piaropus', 'piarroan', 'piast', 'picae', 'picard', 'picariae', 'picarii', 'picea', 'pici', 'picidae', 'piciformes', 'picinae', 'pickwickianism', 'picramnia', 'picris', 'picrodendraceae', 'picrodendron', 'pictavi', 'pictish', 'pictland', 'pictones', 'picumninae', 'picumnus', 'picunche', 'picuris', 'picus', 'piegan', 'piercarlo', 'pierette', 'pieridae', 'pierides', 'pieridinae', 'pierinae', 'pieris', 'pierre', 'piete', 'pieter', 'pigmy', 'pilate', 'pilea', 'pilobolus', 'pilocarpus', 'pilocereus', 'pilpai', 'pilpay', 'pilularia', 'pilumnus', 'pim', 'pima', 'piman', 'pimelea', 'pimenta', 'pimpinella', 'pimpla', 'pimplinae', 'pinaceae', 'pinacoceras', 'pinacoceratidae', 'pinacyanol', 'pinaleno', 'pinales', 'pinckneya', 'pinctada', 'pindari', 'pindaric', 'pindarism', 'pindarist', 'pindarize', 'pindarus', 'pinguiculaceae', 'pinkerton', 'pinkertonism', 'pinkster', 'pinnidae', 'pinnigrada', 'pinnipedia', 'pinnotheres', 'pinnotheridae', 'pinus', 'piotr', 'pioxe', 'piperaceae', 'piperales', 'pipidae', 'pipil', 'pipile', 'pipilo', 'pipistrellus', 'pipra', 'pipridae', 'piprinae', 'piptadenia', 'piptomeris', 'pipunculidae', 'piranga', 'pirene', 'piricularia', 'piro', 'piroplasma', 'pisan', 'pisauridae', 'piscataqua', 'piscataway', 'pisces', 'piscid', 'piscidia', 'piscis', 'pishquow', 'pisidium', 'pisistratean', 'pisistratidae', 'pisonia', 'pistacia', 'pistia', 'pisum', 'pitahauerat', 'pitahauirata', 'pitawas', 'pitcairnia', 'pithecanthropidae', 'pithecanthropus', 'pithecia', 'pitheciinae', 'pithecolobium', 'pithoegia', 'pithoigia', 'pitta', 'pittidae', 'pittism', 'pittosporaceae', 'pittosporum', 'pittsburgher', 'pituitrin', 'pitylus', 'pityrogramma', 'placaean', 'placean', 'placentalia', 'placodermi', 'placodontia', 'placodus', 'placoganoidei', 'placoidei', 'placoides', 'placophora', 'placus', 'plagianthus', 'plagiochila', 'plagiostomata', 'plagiostomi', 'planaria', 'planarida', 'planera', 'planipennia', 'planococcus', 'planorbidae', 'planorbis', 'planosarcina', 'plantae', 'plantaginaceae', 'plantaginales', 'plantago', 'plantigrada', 'planuloidea', 'plasmodiophora', 'plasmodiophoraceae', 'plasmodiophorales', 'plasmon', 'plasmopara', 'plastidozoa', 'plataean', 'platalea', 'plataleidae', 'plataleinae', 'platanaceae', 'platanista', 'platanistidae', 'platanus', 'platine', 'platoda', 'platodes', 'platonic', 'platonicalness', 'platonicism', 'platonism', 'platonist', 'platonization', 'platonize', 'platonizer', 'platt', 'plattdeutsch', 'platycarpus', 'platycarya', 'platycephalidae', 'platycephalus', 'platycercinae', 'platycercus', 'platycerium', 'platycodon', 'platyctenea', 'platyhelmia', 'platyhelminthes', 'platypoda', 'platyptera', 'platyrhina', 'platyrhini', 'platyrrhina', 'platyrrhini', 'platysomidae', 'platysomus', 'platystemon', 'platysternidae', 'platystomidae', 'plautine', 'plautus', 'plecoptera', 'plecotinae', 'plecotus', 'plectognathi', 'plectospondyli', 'plegadis', 'pleiades', 'pleione', 'pleistocene', 'pleistocenic', 'pleospora', 'pleosporaceae', 'plesianthropus', 'plesiosauri', 'plesiosauria', 'plesiosaurus', 'plethodon', 'plethodontidae', 'pleuracanthea', 'pleuracanthidae', 'pleuracanthini', 'pleuracanthus', 'pleurobrachia', 'pleurobrachiidae', 'pleurocapsa', 'pleurocapsaceae', 'pleurocarpi', 'pleurocera', 'pleuroceridae', 'pleurococcaceae', 'pleurococcus', 'pleurodelidae', 'pleurodira', 'pleuronectes', 'pleuronectidae', 'pleuronema', 'pleuropterygii', 'pleurosaurus', 'pleurosigma', 'pleurosteon', 'pleurosticti', 'pleurostigma', 'pleurotoma', 'pleurotomaria', 'pleurotomariidae', 'pleurotomidae', 'pleurotremata', 'pleurotus', 'pliny', 'plinyism', 'pliocene', 'pliohippus', 'pliopithecus', 'pliosauridae', 'pliosaurus', 'pliotron', 'ploceidae', 'ploceinae', 'ploceus', 'ploima', 'plotinic', 'plotinism', 'plotinist', 'plotinize', 'plouteneion', 'plowrightia', 'pluchea', 'plumatella', 'plumatellidae', 'plumbaginaceae', 'plumiera', 'plumularia', 'plumulariidae', 'plusia', 'plusiinae', 'plutella', 'pluto', 'plutonion', 'pluvialis', 'plymouth', 'plymouthism', 'plymouthist', 'plymouthite', 'plynlymmon', 'pneumatomachist', 'pneumatomachy', 'pneumatria', 'pneumobranchia', 'pneumobranchiata', 'pneumometer', 'poa', 'poaceae', 'poales', 'poblacht', 'podaliriidae', 'podalirius', 'podarge', 'podargidae', 'podarginae', 'podargus', 'podaxonia', 'podiceps', 'podicipedidae', 'podocarpaceae', 'podocarpineae', 'podocarpus', 'podophrya', 'podophryidae', 'podophthalma', 'podophthalmata', 'podophthalmia', 'podophyllaceae', 'podosomata', 'podosphaera', 'podostemaceae', 'podostemon', 'podostemonaceae', 'podostomata', 'podozamites', 'podsnap', 'podsnappery', 'podunk', 'podura', 'poduridae', 'poecile', 'poeciliidae', 'poecilocyttares', 'poecilopoda', 'poephaga', 'poephagus', 'pogo', 'pogonatum', 'pogonia', 'poiana', 'poictesme', 'poinciana', 'poinsettia', 'pokan', 'pokanoket', 'pokom', 'pokomam', 'pokomo', 'pokonchi', 'polab', 'polabish', 'polander', 'polanisia', 'polarid', 'polaris', 'polaroid', 'polemoniaceae', 'polemoniales', 'polemonium', 'polianthes', 'polichinelle', 'polinices', 'polistes', 'politbureau', 'politburo', 'politique', 'pollyanna', 'pollyannish', 'polonia', 'polonism', 'polonius', 'polonization', 'polonize', 'polyactinia', 'polyadelphia', 'polyangium', 'polyborinae', 'polyborus', 'polybranchia', 'polybranchiata', 'polycarp', 'polycarpon', 'polychaeta', 'polycladida', 'polycletan', 'polycodium', 'polyctenidae', 'polycyttaria', 'polydactylus', 'polyergus', 'polygala', 'polygalaceae', 'polygamia', 'polygonaceae', 'polygonales', 'polygonatum', 'polygonella', 'polygonia', 'polygonum', 'polygordius', 'polygynia', 'polymastiga', 'polymastigida', 'polymastigina', 'polymastodon', 'polymixia', 'polymixiidae', 'polymnestor', 'polymnia', 'polymorpha', 'polymyaria', 'polymyarii', 'polymyodi', 'polynemidae', 'polynemus', 'polynoe', 'polynoidae', 'polyodon', 'polyodontidae', 'polypedates', 'polypetalae', 'polyphaga', 'polypheme', 'polypifera', 'polyplacophora', 'polyplectron', 'polypoda', 'polypodiaceae', 'polypodium', 'polypomorpha', 'polyporaceae', 'polyporus', 'polyprotodontia', 'polypteridae', 'polypterus', 'polysaccum', 'polysiphonia', 'polyspora', 'polystichum', 'polystictus', 'polystomata', 'polystomatidae', 'polystomea', 'polystomella', 'polystomidae', 'polythalamia', 'polytrichaceae', 'polytrichum', 'polyzoa', 'pomaceae', 'pomacentridae', 'pomacentrus', 'pomaderris', 'pomak', 'pomatomidae', 'pomatomus', 'pommard', 'pomo', 'pomona', 'pompeii', 'pompilidae', 'pompilus', 'pomptine', 'ponca', 'poncirus', 'pondo', 'pondomisi', 'ponera', 'poneramoeba', 'poneridae', 'ponerinae', 'pongidae', 'pongo', 'pontac', 'pontacq', 'pontederia', 'pontederiaceae', 'pontus', 'popean', 'poplilia', 'popocracy', 'popocrat', 'popolari', 'popoloco', 'popovets', 'popularist', 'populism', 'populist', 'populus', 'porcellana', 'porcellanidae', 'porcula', 'porella', 'poria', 'porifera', 'porites', 'poritidae', 'porkopolis', 'porocephalus', 'porokoto', 'porphyra', 'porphyraceae', 'porphyrean', 'porphyrianist', 'porphyrio', 'porpita', 'porrima', 'porteno', 'porteranthus', 'porthetria', 'portheus', 'portor', 'portugal', 'portugalism', 'portugee', 'portulaca', 'portulacaceae', 'portulacaria', 'portunalia', 'portunidae', 'portunus', 'porzana', 'poseidon', 'postcommunion', 'postverta', 'potamobiidae', 'potamochoerus', 'potamogale', 'potamogalidae', 'potamogeton', 'potamogetonaceae', 'potamonidae', 'potawatami', 'potawatomi', 'potentilla', 'poterium', 'pothos', 'potiguara', 'potoroinae', 'pottiaceae', 'povindah', 'powhatan', 'pradeep', 'praenestine', 'praesepe', 'prajapati', 'prakash', 'prakrit', 'prakritize', 'pratap', 'pratapwant', 'pratincola', 'pratt', 'pravin', 'praxean', 'praxeanist', 'praxitelean', 'predentata', 'premonstrant', 'prenanthes', 'presbyterianism', 'presbyterianize', 'presbytinae', 'presbytis', 'presley', 'pretenderism', 'pria', 'priacanthidae', 'priacanthus', 'priapean', 'priapic', 'priapulacea', 'priapulida', 'priapulidae', 'priapuloidea', 'priapulus', 'priapus', 'primates', 'primianist', 'primulaceae', 'primulales', 'primulinus', 'princeite', 'priodon', 'priodontes', 'prionidae', 'prioninae', 'prionodesmacea', 'prionodon', 'prionopinae', 'prionops', 'prionus', 'priscianist', 'priscilla', 'priscillianism', 'priscillianist', 'pristipomatidae', 'pristipomidae', 'pristis', 'pristodus', 'pritchardia', 'proarthri', 'proavis', 'proboscidea', 'probosciger', 'procavia', 'procaviidae', 'procellaria', 'procellariidae', 'procellariiformes', 'procne', 'procris', 'procrustean', 'procrusteanism', 'procrusteanize', 'procrustes', 'proctotrypidae', 'proctotrypoidea', 'procyon', 'procyonidae', 'procyoniformia', 'procyoninae', 'prodenia', 'productidae', 'productus', 'proetidae', 'proetus', 'proganosauria', 'progymnasium', 'promammalia', 'promethea', 'promethean', 'prometheus', 'proparia', 'propionibacterieae', 'propionibacterium', 'propithecus', 'propliopithecus', 'propus', 'proreptilia', 'prorhipidoglossomorpha', 'prosarthri', 'proserpinaca', 'prosimiae', 'prosobranchia', 'prosobranchiata', 'prosopis', 'prosopium', 'prostigmin', 'protagorean', 'protagoreanism', 'protargol', 'proteaceae', 'protectograph', 'proteida', 'proteidae', 'proteles', 'protelidae', 'protelytroptera', 'proteosauridae', 'proteosaurus', 'proteosoma', 'protephemeroidea', 'proteroglypha', 'proterozoic', 'protestantish', 'protestantize', 'protestantlike', 'proteus', 'protista', 'protoascales', 'protoascomycetes', 'protobasidii', 'protobasidiomycetes', 'protoblattoidea', 'protobranchia', 'protobranchiata', 'protocaris', 'protoceras', 'protoceratidae', 'protoceratops', 'protochorda', 'protochordata', 'protococcaceae', 'protococcales', 'protococcus', 'protocoleoptera', 'protodonata', 'protodonta', 'protogeometric', 'protohemiptera', 'protohippus', 'protohydra', 'protohymenoptera', 'protomastigida', 'protominobacter', 'protomonadina', 'protomycetales', 'protonemertini', 'protoperlaria', 'protophyta', 'protopteridae', 'protopterus', 'protorohippus', 'protorosauria', 'protorosauridae', 'protorosaurus', 'protorthoptera', 'protoselachii', 'protosiphon', 'protosiphonaceae', 'protosphargis', 'protospondyli', 'protostega', 'protostegidae', 'prototheria', 'prototracheata', 'protozoa', 'protracheata', 'protremata', 'protura', 'protylopus', 'provencalize', 'provence', 'prudy', 'prue', 'prunaceae', 'prunellidae', 'prunus', 'prussianism', 'prussianization', 'prussianize', 'prussianizer', 'prussification', 'prussify', 'psammocharidae', 'psammophis', 'psaronius', 'psedera', 'pselaphidae', 'pselaphus', 'psephurus', 'psetta', 'pseudechis', 'pseudobranchus', 'pseudoceratites', 'pseudococcinae', 'pseudococcus', 'pseudogryphus', 'pseudolamellibranchia', 'pseudolamellibranchiata', 'pseudolarix', 'pseudomonas', 'pseudoneuroptera', 'pseudopeziza', 'pseudophoenix', 'pseudoscarus', 'pseudoscines', 'pseudoscorpiones', 'pseudoscorpionida', 'pseudosuchia', 'pseudotetramera', 'pseudotrimera', 'pseudotsuga', 'pshav', 'psidium', 'psiloceras', 'psiloceratidae', 'psilophytales', 'psilophyton', 'psilotaceae', 'psilotum', 'psithyrus', 'psittaci', 'psittacidae', 'psittaciformes', 'psittacinae', 'psittacomorphae', 'psittacus', 'psocidae', 'psoralea', 'psorophora', 'psoroptes', 'psychean', 'psychichthys', 'psychidae', 'psychoda', 'psychodidae', 'psychotria', 'psychozoic', 'psyllidae', 'ptarmica', 'ptelea', 'ptenoglossa', 'pteranodon', 'pteranodontidae', 'pteraspidae', 'pteraspis', 'pterichthyodes', 'pterichthys', 'pteridophyta', 'pteridospermae', 'pteridospermaphyta', 'pteris', 'pterobranchia', 'pterocarpus', 'pterocarya', 'pterocaulon', 'pterocera', 'pteroceras', 'pterocles', 'pterocletes', 'pteroclidae', 'pteroclomorphae', 'pterodactyli', 'pterodactylidae', 'pterodactylus', 'pteromalidae', 'pteromys', 'pterophoridae', 'pterophorus', 'pterophryne', 'pteropidae', 'pteropoda', 'pteropodidae', 'pteropsida', 'pteropus', 'pterosauri', 'pterosauria', 'pterospora', 'pterostemon', 'pterostemonaceae', 'pterygogenea', 'pterygota', 'pterygotus', 'ptilichthyidae', 'ptiliidae', 'ptilimnium', 'ptilocercus', 'ptilonorhynchidae', 'ptilonorhynchinae', 'ptilota', 'ptinidae', 'ptinus', 'ptolemaean', 'ptolemaic', 'ptolemaism', 'ptolemaist', 'ptolemean', 'ptolemy', 'ptychoparia', 'ptychosperma', 'puccinia', 'pucciniaceae', 'puchanahua', 'puebloan', 'puelche', 'puelchean', 'pueraria', 'puffinus', 'puinavi', 'puinavis', 'pujunan', 'pukhtun', 'pulaya', 'pulayan', 'pulex', 'pulicidae', 'pullman', 'pullmanize', 'pulmonaria', 'pulmonata', 'pulmonifera', 'pulmotor', 'pulmotrachearia', 'pulsatilla', 'pulvinaria', 'pume', 'punan', 'punic', 'punica', 'punicaceae', 'punjabi', 'puno', 'puntlatsh', 'pupidae', 'pupillidae', 'pupipara', 'pupivora', 'puppis', 'pupuluca', 'puquina', 'puquinan', 'purasati', 'purbeck', 'puritan', 'puritaness', 'puritanize', 'puritanizer', 'purkinje', 'purkinjean', 'purshia', 'puru', 'puruha', 'purupuru', 'puschkinia', 'puseyism', 'puseyite', 'pushtu', 'putorius', 'puya', 'puyallup', 'pycnanthemum', 'pycnocoma', 'pycnodonti', 'pycnodontidae', 'pycnodus', 'pycnogonida', 'pycnonotidae', 'pycnonotinae', 'pycnonotus', 'pygididae', 'pygmalion', 'pygobranchia', 'pygobranchiata', 'pygopodes', 'pygopodidae', 'pygopus', 'pylades', 'pyracantha', 'pyraceae', 'pyrales', 'pyralidae', 'pyralididae', 'pyralidoidea', 'pyrameis', 'pyramidalism', 'pyramidalist', 'pyramidella', 'pyramidellidae', 'pyramidist', 'pyrausta', 'pyraustinae', 'pyrenean', 'pyrenochaeta', 'pyrenomycetales', 'pyrenomycetes', 'pyrenomycetineae', 'pyrenopeziza', 'pyrocystis', 'pyrodine', 'pyrola', 'pyrolaceae', 'pyromorphidae', 'pyronema', 'pyrosoma', 'pyrosomatidae', 'pyrosomidae', 'pyrotheria', 'pyrotherium', 'pyrrhocoridae', 'pyrrhonean', 'pyrrhonic', 'pyrrhonism', 'pyrrhonist', 'pyrrhonize', 'pyrrhuloxia', 'pyrrhus', 'pyrula', 'pyrularia', 'pyrus', 'pythagorean', 'pythagoreanism', 'pythagoreanize', 'pythagoric', 'pythagorism', 'pythagorist', 'pythagorize', 'pythagorizer', 'pythia', 'pythiaceae', 'pythiacystis', 'pythiad', 'pythiambic', 'pythios', 'pythium', 'pythius', 'pythonidae', 'pythoninae', 'pythonissa', 'pythonomorpha', 'pyxidanthera', 'qoheleth', 'quader', 'quadi', 'quadragesima', 'quadrantid', 'quadratifera', 'quadrula', 'quadrumana', 'quaequae', 'quaitso', 'quakerdom', 'quakeress', 'quakeric', 'quakerishness', 'quakerism', 'quakerization', 'quakerize', 'quakerlet', 'quakerlike', 'quakership', 'quakery', 'quamasia', 'quamoclit', 'quapaw', 'quartodeciman', 'quashee', 'quasimodo', 'quassia', 'quatsino', 'quechua', 'quechuan', 'quelea', 'querciflorae', 'quercus', 'querecho', 'querendi', 'querendy', 'queres', 'quernales', 'quiangan', 'quiche', 'quidae', 'quiddist', 'quiina', 'quiinaceae', 'quileute', 'quillagua', 'quimbaya', 'quimper', 'quinaielt', 'quinault', 'quinnipiac', 'quinquagesima', 'quinquatria', 'quinquatrus', 'quintilis', 'quintius', 'quirinalia', 'quirite', 'quirites', 'quisqualis', 'quitemoca', 'quiteno', 'quitu', 'quixote', 'qung', 'quoratean', 'qurti', 'raanan', 'rabbinica', 'rabelaisianism', 'rabelaism', 'rabi', 'rabin', 'rachel', 'rachianectes', 'rachiglossa', 'rachycentridae', 'rachycentron', 'radek', 'radiata', 'radicula', 'radiolaria', 'radiolites', 'radiolitidae', 'radiotron', 'rafael', 'raffaelesque', 'rafflesiaceae', 'rafik', 'raghu', 'ragnar', 'rahanwin', 'rahul', 'raiae', 'raif', 'raiidae', 'raimannia', 'rajarshi', 'rajasthani', 'rajeev', 'rajendra', 'rajesh', 'rajidae', 'rajiv', 'rajput', 'rakhal', 'ralf', 'rallidae', 'rallinae', 'rallus', 'rama', 'ramadoss', 'ramaism', 'ramaite', 'raman', 'ramanan', 'rambo', 'rambouillet', 'rameses', 'rameseum', 'ramesh', 'ramessid', 'ramesside', 'ramillie', 'ramillied', 'ramiro', 'ramism', 'ramist', 'ramneek', 'ramnenses', 'ramnes', 'ramon', 'ramona', 'ramoosii', 'ramphastidae', 'ramphastides', 'ramphastos', 'ramsey', 'ramusi', 'ranales', 'ranatra', 'randal', 'randall', 'randallite', 'randell', 'randia', 'randite', 'randolph', 'ranella', 'rangifer', 'ranidae', 'ranina', 'raninae', 'ranjit', 'ranquel', 'ranterism', 'ranunculaceae', 'ranunculales', 'ranunculus', 'ranzania', 'raoulia', 'rapaces', 'rapallo', 'rapanea', 'rapateaceae', 'raphael', 'raphaelesque', 'raphaelism', 'raphaelite', 'raphaelitism', 'raphanus', 'raphia', 'raphidiidae', 'raphidodea', 'raphidoidea', 'raphiolepis', 'rappite', 'raptores', 'rareyfy', 'rarotongan', 'rasalas', 'rasalhague', 'rasenna', 'rashti', 'raskolnik', 'rasores', 'rasselas', 'rastaban', 'rastus', 'rathnakumar', 'ratitae', 'rattus', 'raul', 'rauraci', 'raurici', 'rauwolfia', 'ravenala', 'ravenelia', 'ravi', 'ravindran', 'ravindranath', 'rayan', 'raymond', 'razoumofskya', 'rebecca', 'rebeccaism', 'rebeccaites', 'rebekah', 'reboulia', 'receptaculites', 'receptaculitidae', 'rechabite', 'rechabitism', 'recollect', 'recollet', 'rectigraph', 'recurvirostra', 'recurvirostridae', 'redemptine', 'redemptionist', 'redemptorist', 'redunca', 'reduviidae', 'reduvius', 'rees', 'reformati', 'regalecidae', 'regalecus', 'regga', 'reggie', 'reginald', 'regulares', 'regularia', 'reheboth', 'rehoboam', 'rehoboth', 'rehobothan', 'reichsland', 'reichslander', 'reid', 'reiner', 'reinhard', 'reinwardtia', 'rejang', 'reki', 'rellyan', 'rellyanism', 'rellyanite', 'rembrandt', 'rembrandtesque', 'rembrandtism', 'remi', 'remijia', 'remoboth', 'remus', 'renaissancist', 'renaissant', 'renardine', 'renealmia', 'renilla', 'renillidae', 'renu', 'rephael', 'reptilia', 'requienia', 'resedaceae', 'restiaceae', 'restio', 'restionaceae', 'retepora', 'reteporidae', 'retiariae', 'reticularia', 'reticulosa', 'retinospora', 'reub', 'reuben', 'reubenites', 'reuchlinism', 'reuel', 'revised', 'reynard', 'reynold', 'rhabditis', 'rhabdocarpum', 'rhabdocoela', 'rhabdocoelida', 'rhabdomonas', 'rhabdophora', 'rhabdopleura', 'rhacianectes', 'rhacomitrium', 'rhacophorus', 'rhadamanthine', 'rhadamanthys', 'rhagionidae', 'rhagodia', 'rhamnaceae', 'rhamnales', 'rhamnus', 'rhapidophyllum', 'rhapis', 'rhaptopetalaceae', 'rheae', 'rhegnopteri', 'rheidae', 'rheiformes', 'rhemist', 'rhexia', 'rhina', 'rhinanthaceae', 'rhineland', 'rhinelander', 'rhineodon', 'rhineodontidae', 'rhineura', 'rhinidae', 'rhinobatidae', 'rhinobatus', 'rhinocerotidae', 'rhinoderma', 'rhinolophidae', 'rhinophidae', 'rhinophis', 'rhinoptera', 'rhinopteridae', 'rhinosporidium', 'rhinthonica', 'rhipidistia', 'rhipidoglossa', 'rhipidoptera', 'rhipiphoridae', 'rhipiptera', 'rhipsalis', 'rhiptoglossa', 'rhizina', 'rhizinaceae', 'rhizobium', 'rhizocarpeae', 'rhizocephala', 'rhizoctonia', 'rhizodus', 'rhizoflagellata', 'rhizophora', 'rhizophoraceae', 'rhizopoda', 'rhizopogon', 'rhizopus', 'rhizostomae', 'rhizostomata', 'rhizota', 'rhoda', 'rhodes', 'rhodesoid', 'rhodobacteriaceae', 'rhodobacterioideae', 'rhodococcus', 'rhodocystis', 'rhodomelaceae', 'rhodope', 'rhodophyceae', 'rhodophyllidaceae', 'rhodophyta', 'rhodora', 'rhodoraceae', 'rhodospermeae', 'rhodospirillum', 'rhodothece', 'rhodotypos', 'rhodymenia', 'rhodymeniaceae', 'rhodymeniales', 'rhoeadales', 'rhoecus', 'rhoeo', 'rhomboganoidei', 'rhombozoa', 'rhonda', 'rhopalocera', 'rhopalura', 'rhynchobdellae', 'rhynchobdellida', 'rhynchocephala', 'rhynchocephali', 'rhynchocephalia', 'rhynchocoela', 'rhynchonella', 'rhynchonellacea', 'rhynchonellidae', 'rhynchophora', 'rhynchopinae', 'rhynchops', 'rhynchosia', 'rhynchospora', 'rhynchota', 'rhyncostomi', 'rhynia', 'rhyniaceae', 'rhynocheti', 'rhynsburger', 'rhyssa', 'rhytidodon', 'rhytina', 'rhytisma', 'ribandism', 'ribandist', 'ribbonism', 'ribbonman', 'ribes', 'ribston', 'ric', 'ricardianism', 'ricardo', 'riccia', 'ricciaceae', 'ricciales', 'richard', 'richardia', 'richardsonia', 'richebourg', 'richmond', 'richmondena', 'ricinulei', 'rickettsia', 'rickettsiales', 'riesling', 'riffi', 'rifi', 'rigel', 'rigsmaal', 'rik', 'rikari', 'riksmaal', 'rinaldo', 'rinde', 'ringatu', 'riparii', 'riss', 'rissoa', 'rissoidae', 'ritalynne', 'ritchey', 'ritschlianism', 'rivina', 'rivularia', 'rivulariaceae', 'ro', 'roberdsman', 'robert', 'roberta', 'roberto', 'robigalia', 'robigus', 'robinia', 'roccella', 'roccellaceae', 'rochea', 'rochelle', 'rockies', 'rocouyenne', 'rodentia', 'roderick', 'rodger', 'rodinesque', 'rodolph', 'rogationtide', 'rogero', 'rohilla', 'roist', 'rok', 'roland', 'rolf', 'rolfe', 'rollinia', 'rollo', 'romagnol', 'romagnole', 'romaic', 'romain', 'romaji', 'roman', 'romandom', 'romane', 'romanes', 'romanesque', 'romanhood', 'romaniform', 'romanism', 'romanist', 'romanite', 'romanity', 'romanization', 'romanize', 'romanizer', 'romansch', 'romansh', 'romany', 'rome', 'romeo', 'romescot', 'romeshot', 'romeward', 'romewards', 'romishness', 'rommany', 'romney', 'romneya', 'romulus', 'ron', 'ronald', 'rondeletia', 'ronga', 'ronni', 'ronsardism', 'ronsardist', 'ronsardize', 'ronsdorfer', 'roosevelt', 'rori', 'roridula', 'roridulaceae', 'roripa', 'rorippa', 'rosa', 'rosabel', 'rosabella', 'rosaceae', 'rosales', 'rosalia', 'rosalie', 'rosalind', 'rosaline', 'rosamond', 'roschach', 'rosellinia', 'rosenbergia', 'rosetta', 'rosicrucianism', 'rosine', 'rosmarinus', 'rosminianism', 'rostellaria', 'rotala', 'rotalia', 'rotanev', 'rotarianism', 'rotatoria', 'rotifera', 'rotse', 'rouman', 'roumeliote', 'rousseau', 'rousseauan', 'rousseauism', 'rousseauist', 'rousseauite', 'roussillon', 'rowena', 'rowland', 'rowley', 'rowleyan', 'roxana', 'roxane', 'roxanne', 'roxburgh', 'roxburghiaceae', 'roxbury', 'roxie', 'roxolani', 'roy', 'royena', 'roystonea', 'rua', 'rube', 'rubia', 'rubiaceae', 'rubiales', 'rubicola', 'rubicon', 'rubus', 'rucervus', 'ruchbah', 'rudbeckia', 'rudesheimer', 'rudista', 'rudistae', 'rudmasday', 'rudolf', 'rudolph', 'rudy', 'ruellia', 'rugby', 'rugger', 'rukbat', 'rulander', 'ruman', 'rumex', 'ruminantia', 'rumper', 'rundi', 'rupert', 'rupicapra', 'rupicaprinae', 'rupicola', 'rupicolinae', 'ruppia', 'ruritania', 'rus', 'rusa', 'ruscus', 'rusin', 'russ', 'russelia', 'russell', 'russellite', 'russene', 'russianism', 'russianist', 'russianization', 'russianize', 'russification', 'russificator', 'russifier', 'russify', 'russine', 'russism', 'russniak', 'russolatry', 'russomania', 'russomaniac', 'russophile', 'russophilism', 'russophilist', 'russophobe', 'russophobia', 'russophobiac', 'russophobism', 'russophobist', 'russula', 'ruta', 'rutaceae', 'rutelinae', 'ruthene', 'rutiodon', 'rutuli', 'rymandra', 'rynchospora', 'rytina', 'ryukyu', 'saad', 'saan', 'saarbrucken', 'saba', 'sabaean', 'sabaeanism', 'sabaeism', 'sabaism', 'sabaist', 'sabal', 'sabalaceae', 'saban', 'sabaoth', 'sabathikos', 'sabazianism', 'sabazios', 'sabbatarianism', 'sabbatean', 'sabbathaic', 'sabbathaist', 'sabbathbreaker', 'sabbathbreaking', 'sabbathism', 'sabbathize', 'sabbathkeeper', 'sabbathkeeping', 'sabbathless', 'sabbathlike', 'sabbaticalness', 'sabbatist', 'sabbatization', 'sabbatize', 'sabellaria', 'sabelli', 'sabellianism', 'sabellianize', 'sabellidae', 'sabia', 'sabiaceae', 'sabianism', 'sabik', 'sabir', 'sabrina', 'sabuja', 'sacae', 'saccammina', 'saccha', 'saccharomycetaceae', 'saccharomycetales', 'saccharomycetes', 'saccobranchiata', 'saccobranchus', 'saccomyidae', 'saccomyina', 'saccomyoidea', 'saccomys', 'saccopharyngidae', 'saccopharynx', 'saccorhiza', 'sacculina', 'sacheverell', 'sacramento', 'sacrificati', 'sacripant', 'sadachbia', 'sadalmelik', 'sadalsuud', 'sadducaic', 'sadducean', 'sadducee', 'sadduceeism', 'sadduceeist', 'sadducism', 'sadducize', 'sadie', 'sadite', 'saeima', 'safar', 'safavi', 'safawid', 'safi', 'safine', 'safini', 'sagai', 'sageretia', 'sagina', 'sagitarii', 'sagittaria', 'sagittariid', 'sagittid', 'sagra', 'saguerus', 'sahadeva', 'sahaptin', 'sahara', 'saharan', 'sahibah', 'saho', 'saidi', 'saify', 'saiid', 'sainfoin', 'saintpaulia', 'saiph', 'saite', 'saiva', 'saivism', 'sak', 'saka', 'sakai', 'sakalava', 'sakel', 'sakelarides', 'sakell', 'sakellaridis', 'sakha', 'sakkara', 'saktism', 'sakyamuni', 'salamandra', 'salamandridae', 'salamandrina', 'salangidae', 'salicaceae', 'salicales', 'salicariaceae', 'salicornia', 'salientia', 'salinan', 'salinella', 'salisburia', 'salishan', 'salivan', 'sallybloom', 'salm', 'salmo', 'salmonidae', 'salmonoidea', 'salmonoidei', 'salome', 'salomonia', 'salpidae', 'salsola', 'salsolaceae', 'saltatoria', 'saltigradae', 'salva', 'salvadoraceae', 'salvadoran', 'salvelinus', 'salvia', 'salvinia', 'salviniaceae', 'salviniales', 'salwey', 'samadera', 'samandura', 'samani', 'samanid', 'samantha', 'samaritan', 'samaritaness', 'samaritanism', 'samarkand', 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'xylariaceae', 'xyleborus', 'xylia', 'xylina', 'xylocopa', 'xylocopidae', 'xylonite', 'xylophaga', 'xylophagidae', 'xylophagus', 'xylopia', 'xylosma', 'xylotrya', 'xyrichthys', 'xyridaceae', 'xyridales', 'xyris', 'yadava', 'yagnob', 'yahgan', 'yahganan', 'yahoodom', 'yahooism', 'yahuna', 'yahuskin', 'yahweh', 'yahwism', 'yahwist', 'yajna', 'yajnavalkya', 'yaka', 'yakala', 'yakan', 'yakima', 'yakona', 'yakonan', 'yakut', 'yakutat', 'yamacraw', 'yamamadi', 'yamassee', 'yamato', 'yamel', 'yameo', 'yana', 'yanan', 'yankee', 'yankeedom', 'yankeefy', 'yankeeism', 'yankeeist', 'yankeeize', 'yankeeland', 'yankeeness', 'yankton', 'yanktonai', 'yannigan', 'yao', 'yapman', 'yaqui', 'yaquina', 'yarborough', 'yarkand', 'yaru', 'yarura', 'yaruran', 'yaruro', 'yasht', 'yasna', 'yatigan', 'yatvyag', 'yauapery', 'yavapai', 'yazoo', 'yellowknife', 'yemen', 'yemeni', 'yemenic', 'yemenite', 'yengee', 'yenisei', 'yerava', 'yeraver', 'yeshibah', 'yeshiva', 'yezdi', 'yezidi', 'yid', 'yiddisher', 'yiddishism', 'yiddishist', 'yikirgaulit', 'yildun', 'yojuane', 'yokuts', 'yoldia', 'yomud', 'yonkalla', 'yorkist', 'yorkshire', 'yorkshireism', 'yorkshireman', 'yoruba', 'yoruban', 'yponomeuta', 'yponomeutid', 'yponomeutidae', 'ypurinan', 'yquem', 'yuapin', 'yucatec', 'yucateco', 'yuchi', 'yuechi', 'yuga', 'yugoslav', 'yugoslavic', 'yuit', 'yukaghir', 'yuki', 'yuma', 'yuman', 'yun', 'yunca', 'yurak', 'yurok', 'yurucare', 'yurucarean', 'yurucari', 'yurujure', 'yuruk', 'yuruna', 'yustaga', 'yvonne', 'zabaism', 'zaberma', 'zabism', 'zacatec', 'zacateco', 'zach', 'zachariah', 'zadokite', 'zaglossus', 'zaitha', 'zaklohpakap', 'zalambdodonta', 'zamenis', 'zamia', 'zamiaceae', 'zamicrus', 'zan', 'zanclidae', 'zanclodon', 'zanclodontidae', 'zande', 'zaniah', 'zannichellia', 'zannichelliaceae', 'zanonia', 'zantedeschia', 'zanthorrhiza', 'zanthoxylaceae', 'zantiot', 'zanzibari', 'zapara', 'zaparan', 'zaparo', 'zaparoan', 'zaphrentidae', 'zaphrentis', 'zapodidae', 'zapodinae', 'zaporogue', 'zapotec', 'zapoteco', 'zaptoeca', 'zapus', 'zaque', 'zaramo', 'zarathustrianism', 'zarathustrism', 'zardushti', 'zarema', 'zaurak', 'zauschneria', 'zavijava', 'zea', 'zealander', 'zebrina', 'zebulunite', 'zechstein', 'zeelander', 'zeguha', 'zeidae', 'zeke', 'zelkova', 'zeltinger', 'zen', 'zenaga', 'zenaida', 'zenaidinae', 'zenaidura', 'zend', 'zenelophon', 'zenobia', 'zeoidei', 'zep', 'zephyranthes', 'zerma', 'zeuctocoelomata', 'zeuglodonta', 'zeuglodontia', 'zeuglodontidae', 'zeugobranchia', 'zeugobranchiata', 'zeus', 'zeuzera', 'zeuzeridae', 'zhmud', 'zilla', 'zimmerwaldist', 'zincalo', 'zingiber', 'zingiberaceae', 'zinnia', 'zinzar', 'zinziberaceae', 'zion', 'zionism', 'zionist', 'zionite', 'zionless', 'zionward', 'zipa', 'ziphiidae', 'ziphiinae', 'ziphius', 'zips', 'zirak', 'zirbanit', 'zizania', 'zizia', 'zmudz', 'zoanthacea', 'zoantharia', 'zoanthidae', 'zoanthidea', 'zoarces', 'zoarite', 'zohak', 'zoharist', 'zoharite', 'zoilism', 'zoilist', 'zolaesque', 'zolaism', 'zolaist', 'zolaize', 'zollernia', 'zonaria', 'zongora', 'zonites', 'zonitidae', 'zonitoides', 'zonoplacentalia', 'zonotrichia', 'zonta', 'zonuridae', 'zonurus', 'zoochlorella', 'zoomastigina', 'zoomastigoda', 'zoophaga', 'zoophagineae', 'zoophyta', 'zootoca', 'zoque', 'zoraptera', 'zorillinae', 'zoroastrianism', 'zoroastrism', 'zorotypus', 'zosma', 'zostera', 'zosteraceae', 'zosteropinae', 'zosterops', 'zouave', 'zoysia', 'zubeneschamali', 'zuleika', 'zulhijjah', 'zulinde', 'zulkadah', 'zulu', 'zuludom', 'zuluize', 'zuni', 'zutugil', 'zwinglianism', 'zwinglianist', 'zygadenus', 'zygaena', 'zygaenidae', 'zygnema', 'zygnemaceae', 'zygnemales', 'zygnemataceae', 'zygnematales', 'zygobranchia', 'zygobranchiata', 'zygocactus', 'zygodactylae', 'zygodactyli', 'zygomycetes', 'zygophyceae', 'zygophyllaceae', 'zygophyllum', 'zygoptera', 'zygopteraceae', 'zygopterides', 'zygopteris', 'zygosaccharomyces', 'zyryan', 'zythia', 'zyzomys', 'zyzzogeton'] not in stop_words.\n",
      "  warnings.warn('Your stop_words may be inconsistent with '\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training accuracy: 0.5924684857188447\n"
     ]
    }
   ],
   "source": [
    "pipe_forest_nd = Pipeline([('vectorizer', CountVectorizer(stop_words = non_descriptive_words, \n",
    "                                                          max_features = 300)),\n",
    "                        ('forest', RandomForestClassifier(n_estimators=100,\n",
    "                                                          n_jobs=-1))])\n",
    "pipe_forest_nd.fit(X_train, y_train)\n",
    "\n",
    "y_pred_train_nd = pipe_forest_nd.predict(X_test)\n",
    "print('Training accuracy:', accuracy_score(y_test, y_pred_train_nd))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the end, the best fit training model was the first attempt with an accuracy of 60%. All other attempts trailed this value by a significant amount. "
   ]
  }
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