{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "1_NLU_base_features_on_dataset_with_YAKE_Lemma_Stemm_classifiers_NER_.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EhycgLa_1gjj"
      },
      "source": [
        "![JohnSnowLabs](https://nlp.johnsnowlabs.com/assets/images/logo.png)\n",
        "\n",
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/nlu/blob/master/examples/webinars_conferences_etc/NYC_DC_NLP_MEETUP/1_NLU_base_features_on_dataset_with_YAKE_Lemma_Stemm_classifiers_NER_.ipynb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7cZNelCJGTgJ"
      },
      "source": [
        "# 1. Install NLU "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6GoxQmPuGNee"
      },
      "source": [
        "import os\n",
        "! apt-get update -qq > /dev/null   \n",
        "# Install java\n",
        "! apt-get install -y openjdk-8-jdk-headless -qq > /dev/null\n",
        "os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n",
        "os.environ[\"PATH\"] = os.environ[\"JAVA_HOME\"] + \"/bin:\" + os.environ[\"PATH\"]\n",
        "! pip install nlu  pyspark==2.4.4  > /dev/null    \n",
        "import nlu  "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1quiM1WB6zad"
      },
      "source": [
        "# Download dataset with major news about crypto currencies.\n",
        "## We will use the 'title' column for our examples\n",
        "https://www.kaggle.com/kashnitsky/news-about-major-cryptocurrencies-20132018-40k\n",
        "\n",
        "![Crypto](http://ckl-it.de/wp-content/uploads/2021/02/crypto.jpeg )"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "epDSiw1gIKG6",
        "outputId": "6fe73078-f810-4fda-a15a-4e508111c691"
      },
      "source": [
        "import pandas as pd \n",
        "import nlu\n",
        "!wget http://ckl-it.de/wp-content/uploads/2020/12/small_btc.csv \n",
        "df = pd.read_csv('/content/small_btc.csv').title\n",
        "df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "--2021-02-11 15:11:47--  http://ckl-it.de/wp-content/uploads/2020/12/small_btc.csv\n",
            "Resolving ckl-it.de (ckl-it.de)... 217.160.0.108, 2001:8d8:100f:f000::209\n",
            "Connecting to ckl-it.de (ckl-it.de)|217.160.0.108|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 22244914 (21M) [text/csv]\n",
            "Saving to: ‘small_btc.csv’\n",
            "\n",
            "small_btc.csv       100%[===================>]  21.21M  5.84MB/s    in 3.9s    \n",
            "\n",
            "2021-02-11 15:11:52 (5.41 MB/s) - ‘small_btc.csv’ saved [22244914/22244914]\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0          Bitcoin Price Update: Will China Lead us Down?\n",
              "1       Key Bitcoin Price Levels for Week 51 (15 – 22 ...\n",
              "2       National Australia Bank, Citing Highly Flawed ...\n",
              "3       Chinese Bitcoin Ban Driven by  Chinese Banking...\n",
              "4                   Bitcoin Trade Update: Opened Position\n",
              "                              ...                        \n",
              "1995    Bitcoin Bill Pay Company Living Room of Satosh...\n",
              "1996    NYDFS Extends BitLicense Bitcoin Regulation Co...\n",
              "1997    Bitfinex Passes Stefan Thomas’s Proof Of Solve...\n",
              "1998    Cryptocurrency Exchange Platform AlphaPoint Pa...\n",
              "1999    Want to Buy And Sell Bitcoin Fast and Secure? ...\n",
              "Name: title, Length: 2000, dtype: object"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3piXOfyb7HOD"
      },
      "source": [
        "# Predict sentiment of News Article titles"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 714
        },
        "id": "Fdxs3wO4ISAW",
        "outputId": "55a473a3-c5c2-431f-a65d-575935efeae1"
      },
      "source": [
        "import nlu\n",
        "# Predict sentiment on dataset with NLU sentiment model\n",
        "sentiment_df = nlu.load('emotion').predict(df)\n",
        "sentiment_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "classifierdl_use_emotion download started this may take some time.\n",
            "Approximate size to download 21.3 MB\n",
            "[OK!]\n",
            "tfhub_use download started this may take some time.\n",
            "Approximate size to download 923.7 MB\n",
            "[OK!]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\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>title</th>\n",
              "      <th>text</th>\n",
              "      <th>emotion_confidence</th>\n",
              "      <th>sentence</th>\n",
              "      <th>sentence_embeddings</th>\n",
              "      <th>emotion</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>origin_index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>0.998173</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>[0.05829371139407158, -0.036904484033584595, -...</td>\n",
              "      <td>fear</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>0.997696</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>[0.038088250905275345, -0.04514157399535179, -...</td>\n",
              "      <td>joy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>0.999998</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>[0.050343189388513565, -0.013036551885306835, ...</td>\n",
              "      <td>fear</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "      <td>0.999135</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by Chinese Banking ...</td>\n",
              "      <td>[0.055152829736471176, -0.05237917602062225, -...</td>\n",
              "      <td>fear</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>0.998864</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>[0.059269748628139496, -0.05646341294050217, -...</td>\n",
              "      <td>joy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1996</th>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>0.998281</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>[0.0639236643910408, -0.05505230277776718, -0....</td>\n",
              "      <td>fear</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1997</th>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>0.772052</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>[0.059178080409765244, -0.041498005390167236, ...</td>\n",
              "      <td>fear</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1998</th>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>0.999348</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>[0.05369672179222107, -0.023480931296944618, -...</td>\n",
              "      <td>joy</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>0.998905</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure?</td>\n",
              "      <td>[0.0626637190580368, -0.05945301055908203, -0....</td>\n",
              "      <td>fear</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>0.998905</td>\n",
              "      <td>Try CoinRNR</td>\n",
              "      <td>[0.02854502573609352, 0.055576108396053314, 0....</td>\n",
              "      <td>fear</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2069 rows × 6 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                          title  ... emotion\n",
              "origin_index                                                     ...        \n",
              "0                Bitcoin Price Update: Will China Lead us Down?  ...    fear\n",
              "1             Key Bitcoin Price Levels for Week 51 (15 – 22 ...  ...     joy\n",
              "2             National Australia Bank, Citing Highly Flawed ...  ...    fear\n",
              "3             Chinese Bitcoin Ban Driven by  Chinese Banking...  ...    fear\n",
              "4                         Bitcoin Trade Update: Opened Position  ...     joy\n",
              "...                                                         ...  ...     ...\n",
              "1996          NYDFS Extends BitLicense Bitcoin Regulation Co...  ...    fear\n",
              "1997          Bitfinex Passes Stefan Thomas’s Proof Of Solve...  ...    fear\n",
              "1998          Cryptocurrency Exchange Platform AlphaPoint Pa...  ...     joy\n",
              "1999          Want to Buy And Sell Bitcoin Fast and Secure? ...  ...    fear\n",
              "1999          Want to Buy And Sell Bitcoin Fast and Secure? ...  ...    fear\n",
              "\n",
              "[2069 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "QflwSZ5QSwiW"
      },
      "source": [
        "# Plot sentiment distribution"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 874
        },
        "id": "zYzViY78Ib4H",
        "outputId": "3bb0d415-3908-4c3a-8c44-76cf4e93dcda"
      },
      "source": [
        "sentiment_df.emotion.value_counts().plot.bar(figsize=(20,14), title = 'Emotion Distribution of Bitcoin News Articles')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f7fabd6d8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x1008 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G35mnGD_BagV"
      },
      "source": [
        "# Predict keywords occuring in dataset with YAKE"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 683
        },
        "id": "NW4Hysc-IuAG",
        "outputId": "e8fe700c-a73d-47cf-ccfe-aae973896b6a"
      },
      "source": [
        "key_df = nlu.load('yake').predict(df)\n",
        "key_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\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>keywords_classes</th>\n",
              "      <th>keywords_confidences</th>\n",
              "      <th>text</th>\n",
              "      <th>document</th>\n",
              "      <th>title</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>origin_index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[update, china, china lead]</td>\n",
              "      <td>[0.579886257648468, 0.579886257648468, 0.50663...</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[price, levels, price levels]</td>\n",
              "      <td>[0.579886257648468, 0.579886257648468, 0.50663...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>[bubble, citing highly flawed, highly flawed d...</td>\n",
              "      <td>[0.28654029965400696, 0.19553975760936737, 0.1...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>[ban driven, banking crisis, bitcoin ban driven]</td>\n",
              "      <td>[0.29364120960235596, 0.29364120960235596, 0.2...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by Chinese Banking ...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>[update, position, opened position]</td>\n",
              "      <td>[0.579886257648468, 0.26804494857788086, 0.184...</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>[operations, resumes operations, satoshi resum...</td>\n",
              "      <td>[0.26804494857788086, 0.1840423047542572, 0.16...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1996</th>\n",
              "      <td>[period, comment period, regulation comment pe...</td>\n",
              "      <td>[0.26804494857788086, 0.1840423047542572, 0.16...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1997</th>\n",
              "      <td>[proof, audit, solvency audit]</td>\n",
              "      <td>[0.579886257648468, 0.26804494857788086, 0.184...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1998</th>\n",
              "      <td>[platform, growth, support growth]</td>\n",
              "      <td>[0.579886257648468, 0.26804494857788086, 0.184...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>[bitcoin fast, try coinrnr, sell bitcoin fast]</td>\n",
              "      <td>[0.28912684321403503, 0.22583627700805664, 0.1...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2000 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               keywords_classes  ...                                              title\n",
              "origin_index                                                     ...                                                   \n",
              "0                                   [update, china, china lead]  ...     Bitcoin Price Update: Will China Lead us Down?\n",
              "1                                 [price, levels, price levels]  ...  Key Bitcoin Price Levels for Week 51 (15 – 22 ...\n",
              "2             [bubble, citing highly flawed, highly flawed d...  ...  National Australia Bank, Citing Highly Flawed ...\n",
              "3              [ban driven, banking crisis, bitcoin ban driven]  ...  Chinese Bitcoin Ban Driven by  Chinese Banking...\n",
              "4                           [update, position, opened position]  ...              Bitcoin Trade Update: Opened Position\n",
              "...                                                         ...  ...                                                ...\n",
              "1995          [operations, resumes operations, satoshi resum...  ...  Bitcoin Bill Pay Company Living Room of Satosh...\n",
              "1996          [period, comment period, regulation comment pe...  ...  NYDFS Extends BitLicense Bitcoin Regulation Co...\n",
              "1997                             [proof, audit, solvency audit]  ...  Bitfinex Passes Stefan Thomas’s Proof Of Solve...\n",
              "1998                         [platform, growth, support growth]  ...  Cryptocurrency Exchange Platform AlphaPoint Pa...\n",
              "1999             [bitcoin fast, try coinrnr, sell bitcoin fast]  ...  Want to Buy And Sell Bitcoin Fast and Secure? ...\n",
              "\n",
              "[2000 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SH9kX1-6TFa9"
      },
      "source": [
        "# Plot keyword Distribution\n",
        "You need to call `.explode()` on the keyword column and then get the count of each keyword"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 566
        },
        "id": "V5sAFBB3m0Dn",
        "outputId": "b6221cc9-20d2-47d8-c487-e06d6211d5ce"
      },
      "source": [
        "# key_df.explode('keywords_classes').keywords_classes.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions', figsize=(20,8))\n",
        "key_df.explode('keywords_classes').keywords_classes.value_counts()[0:100].plot.bar(title='Top 100 Keywords in BTC News Articles', figsize=(20,8))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f7f694e48>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jGOy7UMTu2gR"
      },
      "source": [
        "# Stem Data with NLU\n",
        "To reduce dimensionality of the data and yield better results with keyword extraction, we can apply the built in stemmer on our dataset. Especially to merge occurences of termns like `bitcoin` and `bitcoins`\n",
        "\n",
        "Note, Lemmatizing and Normalizing could also applied for further dimension reduction, but they would noch fix the previously mentioned example"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 599
        },
        "id": "1bidZIy2JeWC",
        "outputId": "cb8de251-2f50-4e2e-cd78-91f075d8cb97"
      },
      "source": [
        "stem_df = nlu.load('stem').predict(df, output_level = 'document')\n",
        "stem_df['stem_string'] = stem_df.stem.str.join(' ')\n",
        "stem_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\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>text</th>\n",
              "      <th>stem</th>\n",
              "      <th>document</th>\n",
              "      <th>title</th>\n",
              "      <th>stem_string</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>origin_index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>[bitcoin, price, updat, :, will, china, lead, ...</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>bitcoin price updat : will china lead u down ?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>[kei, bitcoin, price, level, for, week, 51, (,...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>kei bitcoin price level for week 51 ( 15 – 22 ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>[nation, australia, bank, ,, cite, highli, fla...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>nation australia bank , cite highli flawe data...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "      <td>[chines, bitcoin, ban, driven, by, chines, ban...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by Chinese Banking ...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "      <td>chines bitcoin ban driven by chines bank crisi ?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>[bitcoin, trade, updat, :, open, posit]</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>bitcoin trade updat : open posit</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>[bitcoin, bill, pai, compani, live, room, of, ...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>bitcoin bill pai compani live room of satoshi ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1996</th>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>[nydf, extend, bitlicens, bitcoin, regul, comm...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>nydf extend bitlicens bitcoin regul comment pe...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1997</th>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>[bitfinex, pass, stefan, thomas’, proof, of, s...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>bitfinex pass stefan thomas’ proof of solvenc ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1998</th>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>[cryptocurr, exchang, platform, alphapoint, pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>cryptocurr exchang platform alphapoint partner...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>[want, to, bui, and, sell, bitcoin, fast, and,...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>want to bui and sell bitcoin fast and secur ? ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2000 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                           text  ...                                        stem_string\n",
              "origin_index                                                     ...                                                   \n",
              "0                Bitcoin Price Update: Will China Lead us Down?  ...     bitcoin price updat : will china lead u down ?\n",
              "1             Key Bitcoin Price Levels for Week 51 (15 – 22 ...  ...  kei bitcoin price level for week 51 ( 15 – 22 ...\n",
              "2             National Australia Bank, Citing Highly Flawed ...  ...  nation australia bank , cite highli flawe data...\n",
              "3             Chinese Bitcoin Ban Driven by  Chinese Banking...  ...   chines bitcoin ban driven by chines bank crisi ?\n",
              "4                         Bitcoin Trade Update: Opened Position  ...                   bitcoin trade updat : open posit\n",
              "...                                                         ...  ...                                                ...\n",
              "1995          Bitcoin Bill Pay Company Living Room of Satosh...  ...  bitcoin bill pai compani live room of satoshi ...\n",
              "1996          NYDFS Extends BitLicense Bitcoin Regulation Co...  ...  nydf extend bitlicens bitcoin regul comment pe...\n",
              "1997          Bitfinex Passes Stefan Thomas’s Proof Of Solve...  ...  bitfinex pass stefan thomas’ proof of solvenc ...\n",
              "1998          Cryptocurrency Exchange Platform AlphaPoint Pa...  ...  cryptocurr exchang platform alphapoint partner...\n",
              "1999          Want to Buy And Sell Bitcoin Fast and Secure? ...  ...  want to bui and sell bitcoin fast and secur ? ...\n",
              "\n",
              "[2000 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "c1M4WuNrnrxj"
      },
      "source": [
        "# Stem+YAKE\n",
        "We can see `bitcoins` is not a keyword anymore and added to the `bitcoin` count including a lot of other occurences of Bitcoin in the dataset."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 555
        },
        "id": "ehHUCzfNnrDM",
        "outputId": "a6cd3371-f7a0-4a21-9a52-0fe95611f1c3"
      },
      "source": [
        "\n",
        "stem_df = nlu.load('yake').predict(stem_df.stem_string)\n",
        "stem_df.explode('keywords_classes').keywords_classes.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions Lemmatized', figsize=(20,8))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f7f93ef98>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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bxz58PMO5iv56LSswnqvjGeNt7pDhv/+/lyHQuDDDiInZ99tXZxgdM+/L75kZDpW5cGa6MmyXJY/NMKrg8xnOTfKc7n7XFrr4CxlObPylJM/JEEgtuX2GL5jXJPnUeH+vXr6AbXRVhgDoY1V1bZJ3jv1+0Th/KeC7oqrOGQ+He1qGcObKsf+nLi2su/8t44mmM5zr6cxcd6TJ0uP9iCR7Jzl+hVDoRRkepz/JsP4fzPB4HdrXPS/UqRlOAHxpd3905vZvzfCz9W8YD/35eIbRRVvr+Azb/r1JPpchXPm1mflnZggTlgKh92UIFN6bFXT3FRkOWdwtySczHBp5YobRJcfPlD4lw356RYaTqb9/ZhlbWs89MjzHrsxwCNIVSZZO4n1chvP8XFVVb5vTvdWe+1vy+CTnj/35lQyHe63kxzK8Fiy//HSGwz4/n+F15oUZgsjt7cQM2+riDI/JB5bN39J22zfDa9vTa/MvjV1bVXfq7rMyPI5/keHxOC/jLyXOPB+emOF14Oez7ITqAExTrXx6BADYcWr4ufbXdPe+q9XuTKrqezL8ita9x1FBcIOo4fw+/5LhhMnP3tH9AQB2LCOEAOCG9T+SfEgYxA1tPAzx8CTfrs2/ZgcATNTcXwMBADZeVZ2f4RCwI3dwV5io8XDEP9zR/QAAdjyHjAEAAABMjEPGAAAAACZGIAQAAAAwMQtxDqHb3e52vf/+++/obgAAAADcaJx99tlf7O5N8+YtRCC0//7756yzztrR3QAAAAC40aiqC1aa55AxAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATMwuO7oDy+3/zHdcr+38Fzx0B/QEAAAA4MbJCCEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiVg2EquouVfWRmcs1VfX0qrpNVZ1eVZ8e/+411ldVvayqzquqc6vq3tt/NQAAAABYq1UDoe7+j+6+Z3ffM8kPJ/lqkrcmeWaSM7r7wCRnjNNJcliSA8fLsUlevj06DgAAAMDWWe8hY4cm+Ux3X5DkiCQnjO0nJDlyvH5EkhN78IEke1bVHTaktwAAAABss/UGQo9J8vrx+t7dfcl4/dIke4/X90ly4cxtLhrbAAAAAFgAaw6EqmrXJD+b5E3L53V3J+n13HFVHVtVZ1XVWZdffvl6bgoAAADANljPCKHDkpzT3V8Yp7+wdCjY+Peysf3iJPvN3G7fse06uvsV3X1wdx+8adOm9fccAAAAgK2ynkDosdl8uFiSnJrk6PH60UlOmWl/wvhrY4ckuXrm0DIAAAAAdrBd1lJUVbdM8lNJfnmm+QVJTqqqY5JckOSosf20JIcnOS/DL5I9acN6CwAAAMA2W1Mg1N1fSXLbZW1XZPjVseW1neSpG9I7AAAAADbcen9lDAAAAICdnEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIlZUyBUVXtW1clV9e9V9amqum9V3aaqTq+qT49/9xprq6peVlXnVdW5VXXv7bsKAAAAAKzHWkcIvTTJO7v7rknukeRTSZ6Z5IzuPjDJGeN0khyW5MDxcmySl29ojwEAAADYJqsGQlV16yQPSHJcknT3f3X3VUmOSHLCWHZCkiPH60ckObEHH0iyZ1XdYcN7DgAAAMBWWcsIoQOSXJ7kb6vqw1X1yqq6ZZK9u/uSsebSJHuP1/dJcuHM7S8a2wAAAABYAGsJhHZJcu8kL+/ueyX5SjYfHpYk6e5O0uu546o6tqrOqqqzLr/88vXcFAAAAIBtsJZA6KIkF3X3B8fpkzMERF9YOhRs/HvZOP/iJPvN3H7fse06uvsV3X1wdx+8adOmre0/AAAAAOu0aiDU3ZcmubCq7jI2HZrkk0lOTXL02HZ0klPG66cmecL4a2OHJLl65tAyAAAAAHawXdZY92tJXltVuyb5bJInZQiTTqqqY5JckOSosfa0JIcnOS/JV8daAAAAABbEmgKh7v5IkoPnzDp0Tm0neeo29gsAAACA7WQt5xACAAAA4EZEIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxKwpEKqq86vqY1X1kao6a2y7TVWdXlWfHv/uNbZXVb2sqs6rqnOr6t7bcwUAAAAAWJ/1jBB6UHffs7sPHqefmeSM7j4wyRnjdJIcluTA8XJskpdvVGcBAAAA2HbbcsjYEUlOGK+fkOTImfYTe/CBJHtW1R224X4AAAAA2EBrDYQ6yT9W1dlVdezYtnd3XzJevzTJ3uP1fZJcOHPbi8Y2AAAAABbALmusu393X1xV35vk9Kr699mZ3d1V1eu54zFYOjZJ7nSnO63npgAAAABsgzWNEOrui8e/lyV5a5L7JPnC0qFg49/LxvKLk+w3c/N9x7bly3xFdx/c3Qdv2rRp69cAAAAAgHVZNRCqqltW1a2Wrif56SQfT3JqkqPHsqOTnDJePzXJE8ZfGzskydUzh5YBAAAAsIOt5ZCxvZO8taqW6l/X3e+sqg8lOamqjklyQZKjxvrTkhye5LwkX03ypA3vNQAAAABbbdVAqLs/m+Qec9qvSHLonPZO8tQN6R0AAAAAG25bfnYeAAAAgJ2QQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiVlzIFRVN62qD1fV343TB1TVB6vqvKp6Y1XtOrbffJw+b5y///bpOgAAAABbYz0jhH49yadmpl+Y5MXd/f1JrkxyzNh+TJIrx/YXj3UAAAAALIg1BUJVtW+ShyZ55ThdSR6c5OSx5IQkR47XjxinM84/dKwHAAAAYAGsdYTQS5L8TpLvjNO3TXJVd39rnL4oyT7j9X2SXJgk4/yrx3oAAAAAFsCqgVBVPSzJZd199kbecVUdW1VnVdVZl19++UYuGgAAAIAtWMsIofsl+dmqOj/JGzIcKvbSJHtW1S5jzb5JLh6vX5xkvyQZ5986yRXLF9rdr+jug7v74E2bNm3TSgAAAACwdqsGQt39rO7et7v3T/KYJO/u7scl+ackjxrLjk5yynj91HE64/x3d3dvaK8BAAAA2Grr+ZWx5X43yW9W1XkZzhF03Nh+XJLbju2/meSZ29ZFAAAAADbSLquXbNbd70nynvH6Z5PcZ07N15M8egP6BgAAAMB2sC0jhAAAAADYCQmEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJiYVQOhqtqtqv6tqj5aVZ+oqj8c2w+oqg9W1XlV9caq2nVsv/k4fd44f//tuwoAAAAArMdaRgh9I8mDu/seSe6Z5CFVdUiSFyZ5cXd/f5Irkxwz1h+T5Mqx/cVjHQAAAAALYtVAqAfXjpM3Gy+d5MFJTh7bT0hy5Hj9iHE64/xDq6o2rMcAAAAAbJM1nUOoqm5aVR9JclmS05N8JslV3f2tseSiJPuM1/dJcmGSjPOvTnLbjew0AAAAAFtvTYFQd3+7u++ZZN8k90ly122946o6tqrOqqqzLr/88m1dHAAAAABrtK5fGevuq5L8U5L7JtmzqnYZZ+2b5OLx+sVJ9kuScf6tk1wxZ1mv6O6Du/vgTZs2bWX3AQAAAFivtfzK2Kaq2nO8/j1JfirJpzIEQ48ay45Ocsp4/dRxOuP8d3d3b2SnAQAAANh6u6xekjskOaGqbpohQDqpu/+uqj6Z5A1V9bwkH05y3Fh/XJJXV9V5Sb6U5DHbod8AAAAAbKVVA6HuPjfJvea0fzbD+YSWt389yaM3pHcAAAAAbLh1nUMIAAAAgJ2fQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiVk1EKqq/V7ANtQAACAASURBVKrqn6rqk1X1iar69bH9NlV1elV9evy719heVfWyqjqvqs6tqntv75UAAAAAYO3WMkLoW0me0d0HJTkkyVOr6qAkz0xyRncfmOSMcTpJDkty4Hg5NsnLN7zXAAAAAGy1VQOh7r6ku88Zr385yaeS7JPkiCQnjGUnJDlyvH5EkhN78IEke1bVHTa85wAAAABslXWdQ6iq9k9yryQfTLJ3d18yzro0yd7j9X2SXDhzs4vGtuXLOraqzqqqsy6//PJ1dhsAAACArbXmQKiqdk/y5iRP7+5rZud1dyfp9dxxd7+iuw/u7oM3bdq0npsCAAAAsA3WFAhV1c0yhEGv7e63jM1fWDoUbPx72dh+cZL9Zm6+79gGAAAAwAJYy6+MVZLjknyqu/9sZtapSY4erx+d5JSZ9ieMvzZ2SJKrZw4tAwAAAGAH22UNNfdL8vgkH6uqj4xtv5fkBUlOqqpjklyQ5Khx3mlJDk9yXpKvJnnShvYYAAAAgG2yaiDU3e9LUivMPnROfSd56jb2CwAAAIDtZF2/MgYAAADAzk8gBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJEQgBAAAATIxACAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDErBoIVdXxVXVZVX18pu02VXV6VX16/LvX2F5V9bKqOq+qzq2qe2/PzgMAAACwfmsZIfSqJA9Z1vbMJGd094FJzhink+SwJAeOl2OTvHxjugkAAADARlk1EOru9yb50rLmI5KcMF4/IcmRM+0n9uADSfasqjtsVGcBAAAA2HZbew6hvbv7kvH6pUn2Hq/vk+TCmbqLxrbrqapjq+qsqjrr8ssv38puAAAAALBe23xS6e7uJL0Vt3tFdx/c3Qdv2rRpW7sBAAAAwBptbSD0haVDwca/l43tFyfZb6Zu37ENAAAAgAWxtYHQqUmOHq8fneSUmfYnjL82dkiSq2cOLQMAAABgAeyyWkFVvT7JA5PcrqouSvKcJC9IclJVHZPkgiRHjeWnJTk8yXlJvprkSduhzwAAAABsg1UDoe5+7AqzDp1T20meuq2dAgAAAGD72eaTSgMAAACwcxEIAQAAAEyMQAgAAABgYgRCAAAAABMjEAIAAACYGIEQAAAAwMQIhAAAAAAmRiAEAAAAMDECIQAAAICJ2WVHd2Bb7P/Md8xtP/8FD72BewIAAACw8zBCCAAAAGBiBEIAAAAAEyMQAgAAAJgYgRAAAADAxAiEAAAAACZGIAQAAAAwMQIhAAAAgIkRCAEAAABMjEAIAAAAYGIEQgAAAAATIxACAAAAmBiBEAAAAMDECIQAAAAAJkYgBAAAADAxAiEAAACAiREIAQAAAEzMLju6AzeU/Z/5jrnt57/goTdwTwAAAAB2LCOEAAAAACZGIAQAAAAwMZM5ZGw9HF4GAAAA3JgZIQQAAAAwMUYIbYB5I4qMJgIAAAAWlRFCAAAAABNjhNANzGgiAAAAYEcTCC2w9YRHToQNAAAArJVDxgAAAAAmxgihCTKaCAAAAKZNIMQWrSc8EjQBAADAzkEgxA6zredI2ojzKQmxAAAAmCKBEKyR8AgAAIAbC4EQbAfCIwAAABaZQAgWwA15+JxQCgAAAIEQkGT7nXtpvaOlhFgAAADbn0AI2GntbCcm357hmJFjAADAegiEAFjRIoRjixKkAQDAjYlACADWYBECr0UJx4y427jalep3xm0BAOxcBEIAAGyznS0cW5QgbRHWb5G3xSJvt5XqhbHAzkIgBAAAsJMSjm25dqX6Rahdqd62WKzalep3xm2x3E3WVLVOVfWQqvqPqjqvqp65Pe4DAAAAgK2z4YFQVd00yV8mOSzJQUkeW1UHbfT9AAAAALB1tscIofskOa+7P9vd/5XkDUmO2A73AwAAAMBWqO7e2AVWPSrJQ7r7l8bpxyf50e7+1WV1xyY5dpy8S5L/mLO42yX54hrv+sZcuyj9WITaRenHItQuSj92ttpF6cci1C5KPxahdlH6sQi1i9KPna12UfqxCLWL0o9FqF2UfixC7aL0Y2erXZR+LELtovRjEWoXpR+LULso/Vjk2jt396a5t+juDb0keVSSV85MPz7JX2zlss5Suzj9WITaRenHItQuSj92ttpF6cci1C5KPxahdlH6sQi1i9KPna12UfqxCLWL0o9FqF2UfixC7aL0Y2erXZR+LELtovRjEWoXpR+LULso/djZapcu2+OQsYuT7Dczve/YBgAAAMAC2B6B0IeSHFhVB1TVrkkek+TU7XA/AAAAAGyFXTZ6gd39rar61ST/kOSmSY7v7k9s5eJeoXah+rEItYvSj0WoXZR+7Gy1i9KPRahdlH4sQu2i9GMRahelHztb7aL0YxFqF6Ufi1C7KP1YhNpF6cfOVrso/ViE2kXpxyLULko/FqF2Ufqxs9Um2Q4nlQYAAABgsW2PQ8YAAAAAWGACIQAAAICJEQgBAAAATMyGn1R6UVXVjyXZPzPr3N0n7rAOwTpVVSXZt7svXIC+PHtee3f/0Q3dlxurqjqguz+3Whtbp6pukuRR3X3Sdlj2o7v7Tau1beWyb97d31itbb21N2ZV9Ztzmq9OcnZ3f2RZ7U2SHNLd779BOsfkea0fLNJzr6q+J8mduvs/dnRfboyq6pAkn+juL4/TeyT5we7+4Ar11ctOejvF9zK2TlXdNMP+dtcd3ZdFtdOfVLqq7pzkwO5+1/gCvsvSC8xMzauTfF+SjyT59tjc3f20G7a3SVXdP0N//7aqNiXZfd6bflV9X3d/Zo3LvGWSr3X3d8bpmyTZrbu/ui214/w/6u5nz0zfNMmJ3f24ObW36e4vLWvbpg814/29sLt/a431r+7ux6/WtpV9uV93/8tqbWP7/07y3iTv7+6vrGHZd0tyUJLdltrmBZZV9bHu/u9r7O+vJ/nbJF9O8sok90ryzO7+xy3c5hYr7QvL6p4xM7lbkocl+VR3P3ktfZuzvAd397ur6hHz5nf3W+bc5jNJPpDkn5P88zb8muF2V1W/2N2vWeGLabr7z+bc5pzuvveytrO7+4e3sS+/3t0vXa1tZt6eSZ6Q6wfqN9jr53qe11X1k939rmVtR3f3CXNqz+rug7dDf+c9dtdrWzZ/nyR3znW38Xu3Zdlb04+1qqoXdvfvrta2PVXV3kmen+SO3X1YVR2U5L7dfdyyutclOTjJ28emhyU5N8M+/abuftGy+g93973W0Y+1Pnbreu6tV1XdPsl9knSSD3X3pRuwzPV8Blhz7fbq77Ll75Hhs96XVy1efVlbXJdtXPaaXuu35n1y5rZr2hZr3ZfXatxu7+ruB62xfs3Pvao6IMmv5frvTT+7FV2dXe7Dk/xJkl27+4CqumeSP9rW5Y7LvnmSR+b6fb7eP9O25z8WxmVt+D/K1/rPwqr6cJJ7L4U843eRs1Z6b6qq42c/X1bV7klO6e5DV6hf03vDWPvD3X32sraHdfffzUzP/ew2s37X+wy3CNaybtuw7FW/T1bVbba0jOXfGcfbbJfPFlV1SpJf6+7/XEPtbt399TXUrXv9tpeqesIKfVjTc3rhRghV1f2SPDeb35Aqw5vYf5tT+5Qkxya5TYbAZ98k/y/J8heIg5MctDxd3kIffiDJb+f6b4oPnlP7sjmLuDrDC9spy2qfM/blLhm+qN8syWuS3G/OMo6vqn2TfCjDF973dvfHVujyGUl+Msm14/Qtkvxjkh/bxtok2a+qntXdfzy+kZ2U5MMr1L69qg7r7mvG9T1orL/b8sKqOjjJ7+f6j/PdZ+u6+9tjiLZWP7Tsfm6aZMUv0GMo95Rc/01xXrDx50mWv1nNa0uSzyZ5bJKXVdWXs/kxPGV54bhfPDBDIHRaksOSvC/JvCfxOVX1I939oZXWacaTu/ulVfUzSfZK8vgkr87weC/vw49lCI12T3KnqrpHkl/u7v85b8Hd/afLbv8nSf5hZvpjGT7kz7X8cU7yE0neneTh88qTzPuge1CSH03y40n+b1XdJcm53f1zywvX+rpSVSd191Fz+j93/xxvs5Z96Jbj31vNWY/ly7trhv341ss++O+RmcBw2W3W/JqV5Ogky7+APnFO25LTMgRvH0vynVX6fnqSR3f3VeP0Xkne0N0/s419Xs/z+tlV9cgkv5Vhf35lkm8kuV4glORdVfVbSd6Y5LvB7Zxg+8+z5f35aWPdYUkOT7LPsveGPZJ8a6XbV9ULk/x8kk9m5p8WGULlpZrbJ9knyfdU1b0y7JNLy77FsuWtp/btq6zbSl+CfirJ8g9ohy21VdXvdPeLVtp2s4HiWrfvHK/K8F76++P0/5fhsVz+oX/fDF8+rh3v7zlJ3pHkAUnOTvKiZfVnjPvQW1b73LCWx27Gmp974/Pj5Un27u67VdXdk/xsdz9vhX78UpJnZ3gdrSR/PgY0x6+w7LU+99bzGWDNtevp71g/7z3l6iRnJXled18xU/sjSY7P8HpbVXVVhvfDs2dq1rXfj59F7lxVu3b3f610u5nlvyjJ85J8Lck7k9w9yW9092tmatb7Wr/u98m1bIuZ2jXvy2vdh8bt9p2qunV3Xz2n38ut+bmX5G0ZnutvzyrvTWOfH5HkhUm+N8M+t/S+vsey0udmCCrfM67DR8bwaaXlrieYOiXj6MQM70tb8qwky8OfeW1L/fhc5r/Wzvv+NPcf5Zn53LmV7w2z/wD97j8L53V39vHt7u9U1Za+k15UVX/V3f9z/FzxjiR/s4X6V2Vt7w1J8jdV9YTu/niSVNVjkzw9yWxosupnt+XW+V1y1df7rXyfXHXdqup93X3/8bvKvM+9y58fS9byffLscZmV5E5Jrhyv75nkP5PMe15t8bPFrHV+h9srySeq6t9y3c978/bjj1fVFzL+wznJ+1Z4/Zpdv+U6yXefe1vz+K0nE0nyIzPXd8uQhZyT+d8lr2fhAqEMT9bfyLCRv71K7VMzvGh/MEm6+9NV9b1z6j6e5PZJLlljH96UIVj6mzX0Ybckd83mF+hHJvlckntU1YO6++kztT+XYZTGOWN/P19Vc19kuvsnqmrXDA/wA5O8o6p27+55aeRuSx90x9teW1W3mFO33tokeXKS11bVs5I8KMlp3f2SFWqfnyEUemiG0OvEJCv9N+21GV4oV/2SmeTDVXVqhm08+yT+7oefsX+/l+EL0DXZ/OT8/9k772jJqmrr/2Y3/WhSEwQzGQF5CEiQBhEkKQqIPkGSqBgxQKM8FT7RRlEQRX2oTxCEFhCUoIKgIIhEAclB0lPBnBWwRTLr+2Ptc+vUqb2r9q5bdW91c+cYNe6tU+uc2nXCDivM+RhwfJdjn4s/7D8ica0lbYZ3cCuoPUowC5ge28fM5gHzwsLsDfji9J3EB5VdgfWBm81sX3lk4xsRO3AHyN6Sfo2fi6SjgtY5eDVwqpndISnWaQF8AXgl8L3Q/lslbZmwjWFxfNFVYafw973h76nhb/R+MLO54e++Bd/5JPB4+PsU8JfwiiG3X5kT/u7UxaaJnveQmX01/P14xvHWCt+/DO0T//n4wBdDzz4rTAT2AlYNz1OFpYBuUYyZZtY1OlbD8pUzCMDM7k/0ybltbj7X4Pd1t+d6K+AgfKIL8DEz+2bCdvfw9721bW2DeMANif2b+EOwfQ1+r1WYj99/KbwWWMu6p7+/EncePB+oRyPn4+cox/afEduju3xnByS9G3gPsJqk22ofLQXUsyWrRUDOuatsXoo7es8I73fDF6cpLG9mZ4b7BDN7QlLsXnom7Yuvx/GJ98OSYuf8XcAHgCckPUL3iXHPa9fl2ZtF+tk7AR8jq77jNnmmU9QhFGxfXDlGJD0DuBp3BjRRMscpmQOU2Ja0F+CC0NbTw/s98HHnT/jir95Xngi8x8yuDMfeAl8c1sfJ6r7/L3x+WI25ewJ/TrThXuAn4RrW5yKx7IBXmNmHJL0O+FX4nitoH9uL+vo+x8mcc1Ehpx+qUHIP/Qu4PQQM6ucttoAtefYeMbNYUDaFzwA7m1nMQVHH42b2YGO61M05VeKYer6Z7dDNoN/AAh5wrjAT7z9TGQw5gfLiZ6RXsLCGeyUdgDtBwMeUe1MNMbOPSfqMpOPwYNCnzezbXdqeOzaAz8HPlrQXHmB8E/CKxvfnzN2aKHlGcvr73HlIHTm/bYvwt9Tp1XM9aWarAkg6Afiumf0gvH8V3t+MoWBuUUfP+XcNH+35i1rtXkPSSvg52xH4X0kPmNkGDbukoziCfq5ftk/EzPavv5dn938r94tG0SH0oJldkGn7qJk9VnXawbsc69yWB+4MXsGxga5L5PMJMzs28VkT6wEvNbMnQxuOxW/OLXBnRx2PmZlJqlIklyCBMGi/LLyWwb25VybMH5K0oZndFPbdCI9K9W0rqZ71cgzeSf0EuKK+fx1m9n1JM3AP8VLA68zs/xLt+KuZfS/xWRMzgb8Dda96WzTMzI4EjpR0pJkdknlcgMWtdxrif+CZBouEvxUexB2AHZD0NXxhU3mYdyU4AiN4OERHnpCndf8FWDFh25Fp0QU3SroI98AfEpyPycmKmf22MQFKdj5qj9ZOB1YAxlKCzezXwW57a0//PljSTcDBXY69Ix41rZfPxbiJ/ok/Y58HTqhHiCPI6lfMrHIa/43WdVkTd/qm9s+5hwBPQwXeRufve2vt/3OBcyVtZmbX5ByXvD7ratwpvjxQn7TNx8tnUjhVno15Pu39Z2wh+5SklSyk5MpLelMTzp5t7vO5XhYPFPwSd4isLHXyD4TjZw3mFik3S9jdCtwq6XQzezyzveAT4Rl0iRiHNpws6fU9JsKltpcXtBN8QX4BcCTtz/H8+j1hZufV2gKMpZQvaSGLtNHeakK4hZk9Ed4fR3rcAx/PnkG4x+S8FLEo3mnAT+Up4+CL79PDGNzhcDKzpeSp4C8gkZVXQ89rR3/P3uJmdl2jT+62GPx7OF792Kk+seezVzIH6Ge+UNhegO2svZzkdoVSK0lvbNg+WTlAAMzsKklt56667yV9ztrLRs+TlJq4/zK8ptE7Y6CaX++IlyU2HQz99vWEdueOkz3PRQ0593KFknnyd4hn+XagcFF6jDzb7yLax6bUXOvPGc4g8CyCvYDpkl4AHIA/wymUOKaulvQiS2f8Q5+Bhcgc6H8k3Yhn4jXRM1De5zPSRDNYWGE/4IvAoXj/fQkeNG2D2jPnfoov6q8DTNJ/WbpMMndswMzulbQH7tj7De7Mja6hJK2G93Gzw7GvwTP/Ys6skmekZ3+fOw9p7NPzt6n/sqeStedsMxtzcpvZBfIsyjqy5hYNZM+/zexytdPMLE4iqC+v0HkpvgZfH7gDr9xo2nUtv6/3Rf1cP8p8Ik08RDwDK4pRdAhdKumz+ODRq4O/XFIVPd4e9yyeF7E7rLAN50l6D/Bdei+AlsWdBFVHswSwnHmabHNQPVPSV4FlwgLrraRTHi/DB4Ij8ShbtxTlA4GzJP0Bj6Y8m1bku1/bzzXe3487OD6Hd4Jjzhl1psEtjU+a3icpFQWaG5wml9B+jts6d3lpyN8tk0MI+EiYHK5qZodLWhF4jpldl7A/X9KrK691DGFQvFzSD/Do+iq0np19iUfanoF3NA/gEeC/VYucCG4IntwT8Gv+L3yQibXl14rwUCWO+zZgA+BeM/t3GBxTkcXfysvGLDj15hBP861Qz6B5Ap9oxX6fVONZCt+RVDcMC8DF8ejy13BHWura7Yk7Xt8DvF3S1XhZ3iUR25J+BTyS+zJ5avJFeOnm7sQznHreQzWcCtyNO/Y+EY6XOs+vk3QHXUoOaujZZwUn3a+BzTLaWcdjwGfx1OvqOY9l0RBsrpJ0Od6/vAyP+MaQ3c+a2SHhWrQt0C3ObXEtHj08Sc4rdxS+OO0oi1VhzXV43j5MJ99XMwV8FUlHRuxi5wzg38Atkpr9YazvPD8sVlahBwcFns1wInk8ClnlBuZp0w8Ce4b++VmhHUvKs1jb6vPlUc79cAfz9cAsSceY2Wcj7V2W9qyZJcO2FD6AZzWuLuknuGN618hvOFzShbTugf3MrFrQxLhw3o73gc/HM81m4wvCGF9Fz2tXPXuStqPT0ZxaGP5N0uq0FjS70j3L+Re0nF4G7ALcppDVau1ZLDnPXvYcoGZrNdsX0sowiJWilbQXfHH+kmosl5dCVZP55thzeZhrfTMce3fgsmry3uj3l5C0WrWgk5f/RIN1FrIElMe1d76ku/H++92h70hxUvxZXp6Ts8gsHSdLzkXPe7m2eCzpv09WAUlzQV//IrwUfhtawa7mvVnHDZLOwBfHyXknXv71kWBzOp7hksrMgzLH1BbAW0J/+yiRLO96YCF8vnb4Xfd0Wws0FqfT8Cyg1DqvJFCe/YyoR7Cw9j1/wbP8eqFZHnkz7rTcmUZguIGeY4M6y1CXC23+aVi7xOb2pwP/i1d8EH7DN/Hs/SZK1pLZ/X3OPKTwt2WXPTVQsvb8g6RDaWWZ7Y07Pltf1D632BB/Vgyfv6UcQtnzb3XSzDyPOM0MuPPseuAIM9uvy2Gb42Qd0b6oYB4JBWsXtZd4TgvHzxZNGTlSaUmXRjZb7ETJo41vw9PfhHfaX7Nx/qjQUcfaEKvDfRvu4b4stGFLvHTqm8BhZvbBhv329faa2cWJNiyDeye3xMvGngKuMbNoyltYxK8V3t5jXaLTJbY5kPTmbp/HvKKSvoEPcndQG8gtUvcp6Rozy1rEyjO0ngK2MbMXVgt6M9skYT8fH9gexcsIkunJku7BS79+VmvzWDZM4vgvxBf/7wemm1ksUlK3XwWYZWbRqLFqPFRmtqak5+LRxxgPVfbEStLyeNRjO/wcXATMiUSciiCPGJyEOwmFLxTemnLESLrNzNar/V0SuMDMXtblO9bG64sPBJ5pZotFbLL7lWBfRZ73BxYz50K5xRrposG2uocew++h6tixe+hmM3tx7ffNwAmxZ0dsbzGzDeQlBzvhE5wrzGz9iG1JnzUb5756IZ79Nh14KNbeYH8v8BIz+1vs84j98vjCBuDa1H6FbY4t0K9JjAtjGUq1bVsm7vsv1d6O1VybWYdTIdhfhJcz/Tfu5Hgznu3YJEC8CpiLl2LujDtip1mNcLdhH+1DE33nhbQ4KJ6s2XZMTCRdQOBRMLP15Vm0N1uEmF7uMK4wVm7Qpc3vw4Mtf6a9D1+vYVfdx3vjfGsH4+peMT6ufcMxL6U1nh4WOw+1fRbBxzPRZTxrOK+qxkbJJcNkehP8/t0g9DFHmFkHmW/htbsRd5Iui09yr8czh2NOqdXwssjN8X7zPmDv1HgTxoYkrFbyUPLslSDRBos5K0vaG+wrLpwl8Wv9T+Dt+BxiR6upBSb6+3p76gunHfDzfG847so4f15HmYu8fPxEPMutJ9decJ48aB4gXAJYyiLE2ZKuxReZVWnrHjj5aWyRWTROFp6LnveyWo7j6OIx0X9nkzQX9vW/wMueenI6Bft5iTb3JYZRO+6RuGPql7T3hbE2rxw7Ruy5lvRqPNvul/j5XhW/36IZA41r/QReqnh0zAknaatEOzoyRgufkfrvSwYLVcb90hd6jQ2pa1FrS+ya3BYZ424dwLws1t+/0cx+FbHtOQ/p57fFIMWzq2ufZ60nQ184Fx/TK16yT1icVPqjONVG5ex7Lb7O6XDKFq7hbiHQzFioXFBCqCf07VuE9q4E/By43CLBtFLkziODbYlPpP5MPwH82sx+l90wM1tgX/hNML32fjqePla9vyr8nY9PHqrXfOCfA2zHc/Do1i54JHZQx31huFlOwzuHyxufbxP+/lfs1eW4m+N8Bm+qXj3asSPwITzt9GM4J8d4f9s9BbbH4p7+fXr9PnwxB77oqbbdOqDrcVWB7U54ZsI1eAbIPNwRkrJ/XrguW1avhN0teIdX/323JWzfjkef78cXWA8DPx7U/Vl47pYGls6w+2n4ey3wXGBR4BcJ22/jUeYf4tG8rfCa5kG092Y8k+Za4D/DttsHcNzrwt8rcLL15fEMrpjtHeHv14Adwv/jvpfxVPQ1wm+cjjsrjuxifxG1frXHsS/J3DYN2L2gzbfjTopbwvu1cdLR1L32edxhcgMewel574V9lwEu7PL5jeHvbbVt13exu725bQDX72cFtteHv/X+4paC/ZNtDs/eMzKOcQce0T0L2CpsS97HeJSxGk+fnbCJjnkkxgY84v+30Jbbwv0U7Tcb5+0WYNHqdwzg2t1Ua8+Hul0PYKPwt3IkAOw0iHuosM3Pwp0gF4T36wBvS9geVHt9BB//Thpwe7LGksJjLoqXBaxfXe+E3U/xcu768xR9HvEMnkOB48P7F6SuX+xe7PGMZI+To/AKffHSmeetpK8/Bw8CDbq9FwPL1N4viwdwU/a/wJ1dOceeXT3P4f0sYNOE7d3AGrX3qwN3T9I1zHpGgu30cF+uVL0iNlfjc+Q34NQLrwde3+WYK+AZ+sfjjuGTuvUteECj6jcPxZ0LGw7gmhyFBzVWwR1jH8IrOZbDAyjjPc9L1NuSsOk5D6nak3oljvuJxvtpwGkRu6K1Z7gfOo7TNPKFkQAAIABJREFU5ffdQ20uDyxGwZqxy3GrfvPm8HcRus8DlgR2AD6FZ9f/uovtDLy09Ozweh8wo9/rVztv7x/v7859jUzJmPqQZaaT4XwxagznVkiUpf4lPacBf8VvrjUkrWHxaHSuwkEVlb8br1k8FtjXOqMgW1GuONFTWaBhn52arDI29KslrWNm3QhDK/TkEKrh8RAJttCmFYjw5kha28zuVqL+0+IZLFllbgE74NwXx5jZHyKf19tSolKTzUOFR9mqKPfWVZS78d39qvtkQQ2JVYX6aIuXt4Cnfy6DlyjdFNqWKqs8Eu/Yu3Ed9dOvgGcbHYKT4N0RojeXdvme1+COPIDLLC3peXzI2joUd3IuSZro7jz1KDnot88ys19Imh7O3Ty5BGyKo+chvIzgUtJlBDPxfmL58PvqqlbPi3z/U5I+SIs8uBceMbNHJCFp0fDsrpWwPQnP4tstvN8Hd8hGz1EDvWquq+jXH+UcHn8gTtr5qDyD9echk+b3REo7lVa1A8DiKes5HBQVsnkUVFZuAPDb1LEa+Coeqb4V55RZGQ/MpL67OjbAcyU9N9Ifx8a8CrGxYQ6eVZmb8fi70A+dA1ws6X58Qlhvcz/XTiHLZG88uxkSHAZ0qsPsgWeaRvuW0D98iE5emXoGSD/9xdfJVOuxfELZKvIZO2+pch9U483pNpZIWppWNBrgcnyx82DNJtUfrC4vqUj1nblce/NwR0hVpvh73Ckau34XSDoYJwA1fD7wgxBVxzqj6NU4+RlaHDNfizUiPP9zaZVfXIWfi45nQc6Xk1XqKum9+CKvrii5p5l9JdKMGElzis+wpK9fBrhb0vVk8IMqg8MvoEQcAXy8WYa0qEUdx9KuTPuvyLYK883sF7X399LOu9UGSXPw+24+Pm/aEDjYzC6q2WQrSnXpL5LPiDyrei6NzFE6qRWyuV8CSsiDAT5qZmfJKRa2xTPUjiVe2lVyTd4Q/jZL4fegUV4VsmfeTW1uCHzValk0qblprX+LzVFz5iH9lIHlqkQWrT2tUKER/z0zac13F8X7zzH0uYa7XHk0M8g5shbFHZdX4kH6bllVx+JOoar/2ydse3vENmseGc7bnnimeRKRZ3nsIxI+hhhGxiFEgSxzDdmKWSH9q0qnvcLiJTn9OFiqxXxb6RPxxXyuwgF4VKCrWoH1pziRoyxQx+bWSk3+uKTPkSbXLVGIm40vMu8jUUddofD3fRGv132mpE/hDqxDI3YfwGtJY/WfRrwGfV88WjWD9mvdcV+Y2fvCwmcdvHZ2MWARM4sN5iXKHiU8VDkTq37VfXJRIrGKmR0e/v22pPPxZzy16LwTJ8teyczeGSazazWcMf30K1jgjaq9vxf3/ndA0qdxx9tpYdMcOW/SITWb+qBf3c//22hjsw0Hy0n3qpKDf+NZE3UU91nAv+UKhreE4/+RLrxO+KL4nC6fg0+ODsSjgk0SzC8n9smSfA/ouUCvYXUzq5O9f1yeKtwBxWuuo5K+AZ8Mi82D8LK7WcRJPufgDrIDgMPx/uTNCTsoU7XryUFRQxbHTkC9L6zKDd4QNwV8cXKZpO/TvhhrTmD/12qEq5J+gwcYUt/dREd/XDgmQL7zqjp+xQ9xWHBcLI3zeNXRz7WbQ76juac6TAOn4c/STtTS0Bs2/fQXJWo9TaQIZcHT5SvMxAMHSdJslfHmVE7h6v6NOYVLnYpQxrW3upntHib0mPP4pVQ+sxeZAUfjC82X4VlYV9JSa2riW/h8tOoT98bvk+0itvNolbpuTSh1TRz3HWZWjWGV0+QdtBZEdZSQNJf09XMT21PI5fArEUeAMsdUidz6DXLuyjPD9+8GXF85aCIOmbea2TGSXonzWO4TfvOYQ8jKAuX99Be5zvcS7kUodyBVfdSOuOjI9yWleKCyr4mVqUrlOAmK5ezJmIcUtrNClkpktfYE3t4tINtAiULjg3ifcTF+n20PXKeguBeCkQfhJYcla7iDcYfw7Xhf+wMSjnTgVWbWHD+7YRNrLxv8saRbE7a580jwc/ZlOufJdbLqfu6hDowch1AJwgR3f2tnOP+yNfhmgtf8HbQ6r9fhabx1/oh+23APsF7OYl7STyzB9RKxXRPvOJ5lZutKWg94jcVrKHtGBWq2ZwEHWEtNqVc7fmpmm8pr3P8Lz9S5w8zWSNlmHnfl2PaYB1Ze9x2LJEZrjeWZMNviC6VLMh1wPSHpHjNLRaqatmPkZWa2epgEHWdmHeRlcp6P3erOzR7HzuWh+i4+oTsQ7xzvx1MYXx2xvZZ2dZ8kt00JJP3MzNYtsJ+Je+3r0cxjzayDjFNODnkjXvK4bnAGX20Rnp8+2p0dvZbLY25QOXDlGWo31xfoavFlrIU7jyqFvZ3xMrKmSg7h93wAT7dOObz6+W0r49G7/8AHoaWBrzQikZXtdOBHZtZcwKeOvX84bnX9riR9/e6LHMKsB4+JvE56aby0qyPaJOka4INmdlV4/1KcR6GDh0zjrbmeBBT2navizpAxHgX8Xr1+AO2ILsask/vlXjyFel63vlieUbWZBQL6gnb0VFuSE2uvBfRyXvUFSc/Cn2vw57kjUyA8S0dZvkBCNQ+o1GFeZwnlm2B7o5ltpBrHhaTrLcGfV9CGy3BnwsXmvGqzw+/YKmIbJZQ1s5RTuLn/dWb2ksRnJbw5HXxvsW2lUAHXnlzkYFvgJ+G8rQ58M/X7CttxJj7fqwha98LL6DocuLExWGnejOoeGvu82haxvR2f+1bZh9PxEoj/jNgujmeY1fk+D4+NC439evX1RzWdBLFttc+yOPzU4sypiyO80yKcObV2dsDifDzfwTNF6nLrW5vZayO282LHbR2+fQ5c+13H4JnK361+c6LdOYHyIoS50/aWFlGp7Orci4/RI5shOHOuznUgyQOKv8edCRvimdbXWZzrp+SaNOeoV+Jz+9gcp4NbKLZtGFBBBk3DZgYtlcgTm7aN7/gNHig5A6ejSDoUcucLwTYWPKvv049aVxGUkWXasL8JX8f9MrxfDTjb2pUx+2lHLGBksbVIbZ9n0j4finIlNjFKGUIAyKXevoRnLIA/bHMSk/RchvO34fWgD4XvqLhdog6hwhuhRKYzV+EA3LHzQfzBxMxukysOxDzcPaMCNZQoC0C8hCflUS1Rcvqkme1T3yAvZ9snYltfAM/EHXptZVhql038Cy1yRiQtZwnJQmWkdNZQUub2XgJ5GYCZ/VzplOMShSGCAyjqBGrY5US5K5Sq++SipLwFvHRxPq1ncy/8Xt4tYpsdgS3sV6Aweo1HCKtzt3TzQ2up01yB17HPD+8PwxepMWSXHJT0WTXHwSNAx2DcsH1S0lOSlk4NhA1siUd3qoyQvfBr2rFQsYwIluJyqNW9tCRx5Yn9gFPCOQF3hKYmGK8uXFBUkrObEYj+iagBhYX8B2mVzwKdDkX1keprZUqDZ+OBhDvC922JZ6bFFoOx1PUH8Xr3jgyr2EQugfXxTIcTg9PnJOBb1ik9/5Q8EhZdvMSg/KyR34TXf4TXwCDpDfj4eBl+3b4k6YNmdnbdLjxLW2Qcrx/lG8gvZ6y+J1e2vCTLLFd9svlsTwM2ItJ31lA5w/4tF1P4O87fGLWVtEXDKZySkS7pO/9GXGkyhrn4eLuipNPwsectiTaUOv/XNbN1au8vlZSal1wkLzesSLd3JVHGR2apa8CFwBnyjGXwiHt0fmGuyPYRXAV2OrBEN2dQpH97Hs6j2cT2uFpPHa+KbKtQPSMPSFoX+BNO4dBs74VhkVw5ig60LqIKMcdPF8Tk1t8RM7TyTMgb5YS1q+LZ00uRKM1TZ6D8NEnJQHlBf5GVOWrlWQ1zgP8nV2/uSh4c8AacuuFoM3tA0nPwMTmG2DV5Z8K2ZI76pKTVG06CaEaNCgLfyksYiFVB1I8fU4ms0E1Rso618T7/vfj4fj4+tnfIsxfMF8Dndd+3LlUySpf8Vt8Xq+gpoTXJyTKt44N4P1zNBVchoeqcO48MvyMrGBuO+xr8mj0XXwevjGdAdjjpo/t3cehNCuQpYqfjDxjAG3Flje0T9j0ZzsMEa5NqAAoe3utjEZLw+bfxG6HyQu4DrG9xhZFv4xPenov5hLe/w8sfbK83s03q3n2lVY6yowIlkYzIvovSpYSnxJOpoOJUe1+Re63TtI3sOw0neN68tu0+Outlq/epBx45J9AM2q/1k2bWUfcp6S6cf6lnqYZamVVVRGoRnFA0ZhtdrMa84CrgoQr2bdKNXTz9xeo+OQiT1DXIOGeVffMeiG0L27MjsKX9SqJt0eh1cEh9mvZzd7CZdfDjqJFRGJ6p2yySeSbpBjPbuNEHpNQsSvqs5qAIEOWJCPbn4ov0i2lPWY31cdnXL3y2Lp18FafUPq8/1yvhExXhDrjfxJxKNcdGtZD5FwnHRrMfCts6VERqn2WpAclThY+jUwmsXk7XF1SgNChXZvoKnom2Ic4PspOZ/TZie3o4blVTvxNOwLxKOP5nGvY9OWsi37EV/hwugzurDrdaZpqcc+YanES25+REfagSDhrhWm9vISsonJcfJZ7TY/HF7Vm0P0vfqdlEM8BqtimVsZ1wR/eKtNLQDzOzDo6ElCPNzN7WtA32WUpuJWg820/gY8QnYouJYP/R8Lu2xZ9Bw1VlOzjY5CpWJ9NSt/wH8BZzOe+mbUnfWaSMJOfvmR3a0E1xsSjbVa7S+mUzuza83xR4r5m9KWJbZWJU/dB0Wvde29wh9Bd34c/n4fj5+0z1PY3jTsOdQFXW88X49ehY8Ia+Zb/Qhuvxe/MYM/tsxLZn/ybp3XiWxmq4AleFpfDzFnXayRXMvo3z2czDx4iPmdlx4fN+eElQgXKnpJPxYFSde+lziXVAUSArXJMNcKGKB+RO1+dbJPNHntm8mbUC5Uvgam6xOWp2f6H8zFHhztVVzexwSSsCzzGzVBloFiTNMrN/Kh5MSpWklxy/ZI66LX6f1dXZ9jWzjrWSpHqZ+1jgOzHPupyQMFCbG0az8eUBiwvDOfkoPg84PHUv94twHx+Dz6s7ePFK5guhf9sMf1ZPMrO7IzZF2XNhn7uJ0JpYPMOzKMs0+BUOwvvDB/B+7gsWzxzLVpWUZx8fgQtWvUrSOvhz28HhF+Yi2+DzjxdL2hpXqouO6x2wCWKvzn0RUdxobqOc4fwDOKHlYeF1C+7x77sNte1vjr0GcB4uwJ0PlSrJrgSVj4jtPDwb6Od4p70U3dVhVga2C/8vThdG+/D5R/EaXOiilJH5uw7BvetP0K789ne6KB01jrEWA1LUIKLkEdtWO28dr4TtZ3BFhLvxKNZ3gU8NoL2/AF6YafsxPJvi4+F1K3BoF/ue6j59tDf7nAX7bwCza+83BU5J2G6PR3P/ivNn/Ap4ecI2+5kOn9UVGZbHI01JlQM8Uv2a8EqeOzxK2uyLDknYXo0T5Vd9wOoElbLx/L5wT74Kdyo+o3p1aXN2H1d4/ebiTrQ/433Yn/AU25jtCXg2T/X+VfhkKGZ7Ok58ezQeLbkHX4BfT0vZ6d3h2fg37vSoXvcB3+hyLrLUgChUFKNT5WQp0ion2UqD4bPNwm+7Dlihi90VuJx29X7J8HwtBtwZsb8Iz769C+eaOAkvJWraTQ/PxXdxgsoP4MpVuwL/17Cdj0fMHidDEZSWal+ltjSTyNiAZ7V8FucM+HH1KrlGXdpwe+P9tOa22mfzIq+uKlz4c5pU66nZnUy7MtJyqWNX90vt75J46UzMtlLLGsgcoHbcDkVIeqgX1e3IU62cBczqYVPSd5YqI+Wqh94Q/mapo4Zn7il8zPtV+P8uEup54V7YNDynWxHU/ibqRUsxbG+8T54Ra2dlS4/+DXdUrYIvqOpzi3GpPNFShLs08kr2FxQod9Z/V7dtYfvF4ViLhNdb8NLNVDteimdfgQe9Pk96jno77UpOM0n3W9n9RcG5PhZfFN8V3i9LXGlp7fB3w9grYn9+uH+ewh0x99VeKUXXmXiWy1fooWBGwRwnfL4o7oBcj8z+Lew3DXduxj7LVg+tXbMtwn28I0FtK2KbrShZ22ercN7uxbMQo/0hmfOFmv0s3OF8LR4keic91Ncyzmn0dydsr8FpNOrP1jVd7M/EnaVbh9cJuCM7eU0a21Lrzgvw8ebW8H6RLs9pNY7cCkzrdtzYa+RKxoC/S3ojLc/ZnrizoI6tKGM4/7y8Dr5K197XzGLM6RWy040tI4NC0ofM7DNKKDpZvDTovXgN89qSfo93ZqlU5bfhUYEZeGRleVwZJNaWMW4bfIH5PDyS3cFtEzAP96ZW/BvdlDJ6ppWa2ZHAkZKOxJ0ma9ZsO85NOGazrOJPNFKCUxGd2vemvOHZKZ3WnWG+iZ7kZepPpebPls+JtDce6awy4z6NT7ZSxHqP4gTDM4E1Ja1pEbW8QkSvaRdshJeZVTWvKwH3VOeofk7M7GJ53W4VgZ1j6bTunH6ljkqhAVoEu21e9kg0sYrapZSRMLNPyTmjqgyGbn3RYWSWHFDQZ+Ek1Sli+A6Y2clyEuo1w6aODIHaPTyD1vUzfJLeEd0J2BXPrrzZzPYNkZBvJGxnm9lYWr2ZXSAnxI7h+fhE8V+hbXPxsrwt8ev6GdxpdAGeMXNwbd/51j2CmKsGdJ6k9+BOkHrmaOrYTUWThyLbKvRUGlQ7WTb4ov5BPK0bi5cIP5P20ufH8ZT0h+Vp+k08w8xOlDTHAgm7nFS1iZ/jE9HPmlmdSPZseQnbGKy8jOA85akS5hAu94sLJf2QVt+yOwnhBSsoAVF5+vd61q6M9A9JqfK7kvKrojlAAa6m8/6+JrINAEm74ZHu+Xh0fENJh9f7T/Wn2FPSd2YT26pMcOQxufBE9UyvTncagh1y2hCO9Xa83Ob5+Pg/Gz/329Zs/sfMDoz0G97oSH+hsvKLGfJs/tfimU2PK8mv3bt/M89SfxAfx1GLM2NJSUtagzNDmWqj5uV60/DAWRGXmeUrd06TtKyZ3R/athxp+o4VzGxe7f3XJR3YpRnHAuvLuYEOwuecp+Brpibm4WWo3w3vX0tEOTCgZ3/Rxz20qXlm983h8/vDPKOJIgEYM9sptOdOy+evzCUbh4I5arjn30WNkkJSipKiiRcQKWcM+FvoI6pnZFd87h5DCbn218lUlAzf+yvcCXomztv4UMwuIHe+AIB5RtPZeEDqQDxj6oOSvmi1skY1lIxr+8fKGUtoTd4NnCwvKR7LMu3y+3qW8aqVtRadRyaOWyLq8IA8S/pKvAT0L9QykXthFB1Cb8VTJL+An6iradThmdnc0GlfYGZndh6iHfJ0zjusRT49S9KmZvbTxC71GwG8TOEtiWPnyHRWHcsN5C+Qf48/mJfizpt/4pPY2E3+VjoH/BRHUgm3DZTxtJSogNyLT4yabe5IH8xcJBSp1NRQr/scS+nM+L6uMK99PYG0Ahj0p1JTwkPVU7qxQmLSGL0ehfg+rbKAmcCqeMZGalHTc6IbccRUA+FKcmWQWOce61fe0uVr1qGTOPCGhk0/KgfV4NMzXdfMLpJ0I3kOr+w+i7JBEUkvx7MPfhXasaKkNzechSX3cIVHzHljnpA0C1/0rpiw/YOkQ2k5jPamwSNWQ0/HRrWgkNRc3EUXFDXkqgG9OfytcxbUP2+iRHkmR2nw6MS+3XAavkA4N7zfGTg9LMhi/CS5nDXrWYIwPxYMCY6QsQm0dSdRvxsv8f22PJV6Q+KKeEWT0RKY2QflpbxVwOl4M/tu3Ub9BYUOx5/9tvTvLk0pWWiWcAOWqGX1hKRn44GoxYLDqjrWLHz+kEJdRnq70PbjaJeR7kdtpYRzrEQZqUQ9dC75zv/S4NQcnPD8WjPbWi66cUTDpiqlLuk3SlRlj8ODmrcBV8jLIlOcdNlKqpJ2xrNgejlNs9VGrQ8uM8qUOz8HXCMXeAHnnvlUwrY0kPVEcKbtgjveTpQULRexskB51V98hpaKaLO/KL2HHpfzSVVOjRWI8B2Z2TvD32wulYAbJW1ieQIKa5jZbpJ2CQGw0/E5XwzZzlgypchDf/okXt5eoSPwXUNJwsDvw/O0PXBUcKCk7s1s50O4diclHC8xZHPchfv3LXjW3SnAS8zsL/JS2jtpX9uWKBlXY8XGtW3Rubo5vcD6YW6KNTgPI7hJ0mxrL+NtrhmqQHM15tXnkUbcgfyQvPS4ek5mk+47L8WzJ+fgc4WlifsMohg5DqESKHBsZNjdjEeMqxM6DU+t6ppVknMjSLqKlkznzgSZTjP7WMR2E7yMaBVaE7U2j3LN9kK8DvEm2msdOxafwTNdDfgbVAO+xWvgs7ltgn0JT0uJCkhJm1+Hp+s+GN4vg5cG9ZLCzkLoIOs8VDkTuNSx+sn6KTn+vMhms1q9bG3RsRJ+jtukGxPnOPt6jLP9GwLvsQhHU/j8VIuQjde3yYkP36kyzqqT8TLR+mLpaEtzP5yJO2ErKfm98HKMGHHgUCCPtJ0OfK9H5KW+T06flX3egv2NwF5mdk94vybeB3Qoz5RA0lfw/nAP3Ln2LzztucMhG67XXFqOgiuAj1sk40ZeJ/86fKIA3i9/D5+IH281fonac9rmsLSIUs4woQKVk2DfU2lQhQpxYZ+NafFV/MTMmhOaum2Ms+bjZva98HnU+VEh4Qz6NN4PVc/dnvhYHZso1cecLXAHytE4J0iT0+laM5stz+T5Ij4ZPdvMVk+1LxdyJbc/WisTczHcAfmrms3fzewZ8uj+/c1jWJwvruIQuxV4cVioJhVqJL0Jf57aFppmdmrMvrZfL27AgaplyTnz3oJPyq+nNTn+J3ByIrhBbc5yJJ4yf7q6KCgVtKeEc6zi4+lJbKty9dAsvqFSqMVHeQuelfGopDvG28epTFV2bu2t4QvS6RbnfzoAd6i8hC79W7AdH2dGur2lXGYrk6ncGezXobUI/bElhErCcb+EZ+dVgawDLBGwkHPLXIivQ7bEnWS3WlxRrgqUVwIXs3A6go5AeejT3o1nNlcBspR66BwzOyZj2954ZsSGeMBpVzwz6ywSkLQ5nZkgpyRs78YdCr/GsyS6cX5eZ2YvkYt+vAd3xlxntcC++uAmivXXqT5cGYq86sxwWwx/lh4KbejIgAxOlB3wPvPncnLtF1lchfoyMhUlg31SFTJiW8Jx93Xc2dSRTSlpWzO7pPa+SMk4o53RLMIKsXMc9rsLX0e2ZY7hFQbR+y6zPRvhc5Z1ca67FYBdLc4LNhcPWv4Dz+w6y8z+nP1do+YQUhnh2qeBv+E/vE7Q+I+GXYwcqhtx6BE4kV69DQeZ2aER2xKZznvwiPHt1DzhFpcLzr7JSwZ8efTiAeBNwP5453enmX2kaRvst8f5A9bBa0BfipMzXhaxLZGoL2lz7Pp1k9LsSlTbsH0vcFrjWu9pZl+J2feCpOeY2R9VJg1dRBSd0YZUdLNqQ2zxMZRJY6J9Ucnb8FnfZOM9vrPjfulxD/UkDlQfKgeFbd4KnzDtiC+cvgWcn5iEZfdZfbSjo6/s1n8WHPcbOEfNlXgW26zYINfYZ2ngqWoS28Uu27HR2K+Xw/JGPDJ+utXKcyJ2JeqFyLM0v4gvEgwXKTjQIvLltX1m0T4xjk1IL8F59XIU4lBEvczM7svZN3Ksfvqh24ANLKiLyJ1aN3cZq7OcBInJ6JjzajyQdAOwuQVZbHmmwE+sJvcuTx3fDi8lezktJwiQvHY/wrNMjsTLwP8CbGwR8vDaPlkLzWCbtbgqmQPkQh6U29PMTutp3NqnREY6R4Wnsq3I1L+HX5euZOoF7S0RHBla0EteErQvXnaxDe6QnGFmr67ZRANYtTbHFtGfxvlyemaaSjqo9nYmfo7vSszrP4kHCW7CeUZ+mHLKKNNpKumLsf1rbW67Jmon4n6YHnMyeRblw41+a1FzdbUJgzz7bi+cY+ZKSSvh91Hsuc4OlMsDZPNpZejuhXN4daiHNudw1XfV++TwXbPxheu2+Pm9xLrQIchViFfHM9irILnFnqdgXzIHr8jGX4SXTS2JZyR+tWZzPh5cepJWtnTtsJ2lkiqQIg9r3y9bl4wmtRyra+GBk3NDO3bG+8JuGaQ9EeY/XyLD+RDsv4BnQDXX4LE+oLm2jwZlVRjIknQ88CXromSszJLRYDs3ZlOzjaqlpe632n6/rtmWzg+LRB3CeLc77tz7nZlt181+bL8RdAhlL9zUUqloQ/PBVHn0NdaGjk4ubL8aT7k8G+c1+j3waYurBl1lZj1lZ4Ntz5u8ZttzwK/ZCk9XHIsu48oQHecxdNq74hOaHKWMSgVkG5wsDtIqICVtji1Io06F8DC/HJ+8/gAnn73KzKIyuaXOplyEjudbZpYqa6nb/gLYucdg2E/JQUl7s69H4XHrHXAlLbycmb2yYXcIHt1eDCf6Bb/fHsOzOjoyBMLi8ZvAmdWA26Udt+ITo3qG0OVdHFM9VVzUh8pBPwgD5DZ4edoOsUlpYZ+VLbMc7E/CHdj1cq3p4/198mjuy8JrdbwW/QprRBKD7Sb44qBK+X8QeKsNQLUr8l3dHJZr4M/J7ng68Dzgomb/qQL1wj7a9y6cJP4R/LokuTtUphA3l0z1smBfpLiU+dtuw5/Tf4T3y+FlYymHULaTYFhIjCFti1JJVfBlNdrLdrtdu8/hAaRp+DO3NM4JN67sh3Ds7MVV6Atvw8/tvTgx57izV5SZ4V2zL4l0l6jwXIET1lecY0vipc474FlC66gP9SmVqYcOZR4S+Z6t8PvoQgsOzLA9ezFT26co07Sx76K4o+flic+Fz1H3xfukM4ETm+N8wmm6idUUaINddS1eis8NKwXQ3fCA6H692tzj91yLC7XU76GLmu0oOF5xdmUf35EdKFdegGxP3FG0Be3lVkvhQZxtG/sX3d/yDIx1YmuV8ULtPDQzwmazSDlUqh9JHHcb3MHUJkVucZWxkoymK4DyzEXRAAAgAElEQVQdrZXdtRQu075l07YUJc6Hkj6gcG2fHciSB1tegJ/jqJKxpHeZ2VdTzp6Uk2dYKJkfhjnRt4Azeq1zavs8G+/b9sCJuLOCt6PIIVRSBx/j+TguYrcfHn09lFb09R0RuwrTJS1qLWnoxXD+lRjm4HXvB+Ap69uQrj+fG26EZsQolkmwBfCW4PTqKtdtZq8L/x4WHtCl8bTRNoSF5R1mtjbduW2q4z4VHBFn4hOkXjiaVlrpNYS00sSxs9occIOkz9NyMr2XVh1zEyVEteDXeoy/I5yjGLFdKZYCLpaUk7qXQxRdzEOlAtLHwuuR891VmdfH8HJK8NTJ8/FITPP7x8jGY86fBHbGF+ZnSnoKP89nWjydOqtuXwXkyFZAENsvQt9T/c4qtTqGkj7rJDz6U0X39sEdG6mMp3fjz1w1Cb2SVk183zCzS8PEZhOcd2w/nPuhwyGEZ+W8x8yuBJBnsszDlTv6RsJhmXTimpcAfCQ4v3fCz+WTwTl4jLUyPTZpOCV+HJySqXZkZzQA/40TGOYsyr9DQ2ShC16HO49uAjCzP4SJZgrn4vfCj+jCIRIcRx+mM2sztnA8Aq/Fvwzvr7aknfS7iTfgC/ejzWWWn0M7b1O9DQN1XtXwV0mvsVap3C545vIYzEkwvyTpWDN7d+ZxtzbPOHiK8NyHyeEgsDH5i6sT8TF9e4LjVlLUcVuIH0n6b3pkeNfwHHzR86ic12w9nF8ihsXN7Dq1Ux09kbDNIVMvIrYNv6On4EgNMU6Pgc/PzfmzYttLOImqfUo5XepYHOcrTB3bJP0JL915AlegOlvSxWb2oZrpLrij8v20nKYdi/jqWsjl6rcwsyfC++NIcMWoxQtmuKJWt2ytmVYrDTSzfwUHZr+oMlqjDqxIW68ysy3UKcDSLbPpXnl5Xj1Qfm/EDvL4Ua7GS/2Wp/05mY87lJu4RC61nlWWh89Znk2aPHk8KOGhKeEmegaebbMK7rjcjDT/yysT22N4Fh4srfBY2DYuhHv2A7gy3TskvUDSWpbg8SvsA0rW9v8CbpfUM5CFB/2XpSXUcgVeBVNv51fD356OHxVmE/aJkvlh9jpHLmTyBjyz6yzgHdYlS7hj/yE4W8cFxevgj7B4ymOM56MjjVHSS62hGBDbVvvsw/hFqDIA9sV5PPpKHa4d9xvA2jRUJ2KT0lTEpp+Bu3Hcc4H9E4vmmH1WWV6wzU4rLWzzEsBH8ZR78Gj3Jy3Cq6JW6dON+CJzPp6avHbi2J/FF/tVaui7gN+a2UEx+z7ankzdU6vkaCt8oOtJFK0yHqq7iZA+mtnfG3Z1R+FAoFaJxIV4xlYbmveP+ojANvZ/AX6P7G1m0xM2PcspUs9drR31tM++ao1zEZ6nl+Dn8Aw8o6mDdDHYxvqs88zsqIhtLDIY23aJmW0r6SjLVNYpQYgCLUHLeXyVJUqkEtGlaAZU5nefamb7SHqAdoflr4BvW6Qsr7bvevj5fTWeYXkavnDYpzqHKkgVD5+XZDRciEfPBlqOoBaPwk3m/AFL4DKrqeycjnsmYXcRfv/+NzWFr9g9FcbI/8MzFH+Flz78qe8f1Tru1fg91uwLO5zTfRx7dfweeG7Y9DvgTZbgD8k43rvxxdnqQP0YS+GlaOMqCwjfcRbORZK1uApjRN1x+/B4x4sQ7GoiGrAI9rfgjqxV8Ozfc4H/tHhW8QXA+/BAzIZyFZ63mdmrIrbZnGOZv6uYR1CehfkA7UGv5czsLSXfPV7IOUO+BLwQD4xNBx6KORQkdfBkAlg8q6J+LqbjC5ZPmNmXI7ZzcEqDv+HExeeYq5JNA35u4+D9ktM2bGatDMRl8az3tRp2X8GzNerKgb80s/cmjvsTfF5dCddsjGf4bxazL2jvtbQ7sGbgzqnZ4zluOFZ2mbKGwI+iVlneE3i2a9R5pZZq2VK4mvJ1tM+TY4qZpW0pyfopyeTJ4rjro70fwRf+dYW4M8wDq+M57hn4GPkm88DU4sDVqXFeHnA/Aniumb0qzLE3M7MOVbLE2j7Kcaey7Mo5eNXLd/Br8VpcTa1DVEnO97c/nYGh19RsikvdS1E6P6zt13WdIy+dP8Ma3HfZ7Ro1hxDkLdyCXc80xrAtVtPadTEhaQdqDggz+2HCbk18Il9lYQDx6Keke5oDz0RDHpF/Md6p1h080U5VmWV5wTbrevQLebTarAtJowqIaoP9NNwJVKWzXoyXufVSzchtczJ1T62SozrrfIWUo7CEh6qE9LHIUZhxvAPwzJJVac+4iGYpqZ0oOhbhShEer4xP1nbHF3pnWIR4fRhQn7XGBcd/JV5LnXUvFvRZ1+ASoXWZ5aObk9fg1Hs7niGwF417tJeTLqO9X8Azch4FfoJHdq4xsw7JZ0n/g5cTfhPGZDofITifS9tS6rCs7XcjvnA7EXccPVr77DsWSNglbYs759rUCy2SKh7sK0f2mOMr5XCRKzPNw5Uie3GT5KhgIkn4RON5eCbIkbi6z+mxiVXY55P4ZLGr4pJaPHtj5QjV743YZpcRliDXedXnsRc1z1pZEsayA5ZL3UMZx1saj3geSXt21Px+j1k7dvHiqsRxO0zUHJUfwh1SX4o5ioPtargKz+a4c/E+fBIdDagpk3MsOMZ2pHNBUeeg6IdHsB70Mnwe8inLFBMYFOR8WHvgi7aNccfMmhYv2S7hBaqfiyfwrOhoxpakj+OEsrHz9ELrnU2dhKR98azpS2EsA/Gw5iIvLPpfaNbGr3OHmb0wcdyNcad3Ndd5DrC7jbOkOdeB1eexO/ooSatahDMudS9XsPZAWU9OzHA+N7NEUL7x3VuFYxwF1LPDhBMej8u5Er6jhKKj5LkeChF+OPaG1LJiLK0QV3LMipOrPg/pJmRwAUGm3szWl5eb3Wzpkvvctf0SuArtk+F9kpNLnjW7WdVXqksgS56FcyKd66do5mTYZ2xcT9mUoo/54YSsc0auZEytUpM7I9ua6JrGKGkzfEKwgtqj+bPwKEU33IVLOP5I0uKSlrI4kelZeJnaCfSW3rxa0jqph2CC0MHn0wO5ZXmQl1ZaDEkvwlPDlwvv/wa82cx+FjGfhTtgLsMXe12Jas3L4r6Od073jLettTb3TN2rnFRKEKknDv1XyydCLZEXXxa4Q1KWo7AXzOyLwBeVWSJhQVoUz7po3m/RskNJP8VLu87Eve2pdOehYLwOn4zj/1DS5pJWoTfxa5XFc2FkWxO5Mssfw/uL5+PSvm3NI1ImUQIze39o51K46tA8PFMuVupWTUiqqLRCG17cZ1uOwyOiq9LeR1XHTcnDJ+8zqynymdklwRmTq174N3mmSbUA2ZV0avxXcb66tklNAvNoqWBuTVDBjLTdJO2Gp4v/M7T7YxZXL6vKEgT8P3lZTTfFpWy5WSsrIyxBiVx4Kb4jlyuu+EOejZdY96XCZ86b8CCusDZolMiKV7gN/y3r4u16QFLUcVsKFQhA4DLVe+JOip3DthkJ21+b2XZhcTAtMXcbQ3AA5cxVzsMd0clnz0LWVcr5lNjnIbqXRk4YzOwXkqaHxdg8Oflwh0OouSCRK3NFgxCF5yIZaBmPMyjsPy8sYisnwoctnoH4CzwLpmr3irRn6zWxKj4WrYSXXm9KZml/D3waL9Fsc2AN4LgA50l6lQVFUkkvxOeqHZkyJdcPl6bvyokZ5t1fxs9ZV1SLdUkzmgt3eWl831Arc20RYF9JSR6aWntKzkWJ5HsRwjx+XEG5CB4L57Sah6xO9xK6bJn68PmdREoeI7gEd45XTpjFcEGDGCeXaF97P0lngL3CI2Ft0hNhbDoVn6tI0l/xzKk7cvbvhpL5YW2dcxZDXueMnEMIn/yNIXgGUxOrjWjxfEBIY6w95PvjbPGL0CIjBZ/wRkmGw3e+A68XXw6PUj4PX0BsGzF/wsyiC9YIZgO3KIMXaBgI5/KrVpbqfTJ+vqqHaK+wbawMTAW8K33iq8AHKu+pnD+giv41UfEdfIkMvgNJrwE+i6dHryppAzyVebxpqCvi6bc5qXvrWU2xyMzul2cBxFDCQ1VNeurEnanFcxXhq1BFZMaFHGdQA7H77RRq9xuMRZi+Y5GSqImChk/0HSV+Jc6bsT3O01LHq+rbGk7xU/CoP7gDcDsadf5mdjbO2/BRMzu8z5+RhKT34c/qRnh50Ekk+BxwB29b80IbO8oTclDqsKztd29wavwn7YvYT8BYdDSGNSSlnlPwEpHjgbUl/Z6Q0ZCwnWFmXcsVa1gsTD4UJrKHybOcYuUeNwEPmFkHB08dZtaNVyiGTwbn40G0FL7eHzNUZzbKJjaObJQ+nFf94BzgrODEWxEvN/rvARx34KgtrlYF/mihNDIsAqIcFIWO22woIQBBmhdoX9xB+Ckzuy/8ho5yg4D75KWVZ+DO00Hh+bnzNRWoh8q5MnZrBIW+ZQ3xhQnAv+UqebfIFWn/SP4Ctisv0AjhUfx3zQTWlLSmdcpbLwXcFQJkhpdu3yDpexANlH3UzM6Sq8NtjTtej6U1B+sLwYH1Q5zn7y5cpbCnUEkmjsCdQjviC9NTSI85JcjhxIRMDiG1SmhXUzuH2lJ4ZvF4sFNvk3Ehi+NuhDAXDyquKOk0gqJkF/uHJD2DlgNpNmmOpBKUcHLNA34qF8YBLxnrKFkLOCaMOxfRO0h+PJ3rzhOIrzuz0Of88E2DTFbohpEpGVOnylDl4eumMpSVxihp5RKvrrxW/SW4mkaVNtemPCMnxAInWv0LXstZv8FiHDtD4QUqgco5hHLUBYoVKkqguIxotzTGbL6DsDjaBleyiV7rcbQ7S8JZBQpYKuChKmxrrKxy3NLifbQju+xQhSo1g4aknc3sPHnNccwhlFrY5B6/p6pGfbIE1BUIOvhG1KdkqQKXUK9tpZATyl6JK/mkCF8r2+zyhGFCTkK6ON63fA0PLFxnQflJrTLQZ+ITh0vwc7w1Xl61U+N4TcfOYvgC7CGI81BJOgJ3oJ1H7zGnRAWzyY1QHTfFITRwqWwVlBGOEiS9F5/4rwK8y8yuntwWdYe8NGhzC0pTwQnwE4uX8TUdt1fiPCbjcrSEQFIlALG+ggCEmW3fZZ/FgJV6TZDD4mEnvPxpQ1zM4FsWymTH0eajcHnsDmWziG1P9dCabbYCzzAR5nJ/xgNk78dJmr9iET4sFfACDQsqEM4I9m/HhWCejwdaZuP9yzYNu626fa91ZqoMpTQot73jOP5r8TKspYDXm9n/DeCYx5DBial8DqGhldBOoR0qVJRUoUx9QTuKOLlCOyoF7ystUT4Xns998Llyff0Uo3gpWnfmQJ3KxFX/Wd37sXLbIlXg8WBkMoSsD5WhXo4GSf9jZgcCX5YUW7ClskAeNbPHFBQq5HWRzf1vpJ37pe71jZYcTKTjpwtKS4N6loFNwO+6V078WEUD30hCDaGPCPPjZvag2tVIxu0lVU3CGfdgz8D5TmISzlkKWAGbxBZzje9+o5l9I7LYBDr4DoYZfekHJWWHpSo1A4WZnRf+vZMI0TfpSHcuclQ1Tsejhj0nSxZK3OQlORtaS7L0MCIqgpJm4s/S8iFiXT0ks/CsyXHBzLLLV6ygPGHI2NycJPI2M/u4XBr8gupDa5WBXoQ78/4Y3j8Hl59tosq2aTrp9sH5XWKoSonq42SqzK2pgrk1XnITQ2k2wlwzq6JyhAjoXHwhMAYVKHzZ8LJRhuG8qvevwjOUbwFmhz5sXKTyQ8YiVpMdD/OdlLrmTLxktKfjthAPm5eOPCFpFh5YWzFlLGlnPPOiZzavOdfEmbgyy7J4yeHl9KYK6IVrge/KM1R7ZZrlZkoAPCVppSpQJy8TntBobQikHWFOov0I0Kskuu7c7soLNEScSEQ4owvm4P3stWa2taS18UyZNjQdPhkYVmlQVntLoM6M5qXxBfL75FkK41VRmoUH9V9R22Y01C4tM9PUhltCO4V2lCpKro5ndq6IC+dsymD8CnPwrNs2Tq6UseWXz+0GrFYf+7oge92Zi9r88CDa/QcGPChpA+usKilVBe4bI+MQUlAZwm+CDrJn64/AtLqQpXXzl0v6f8BikrbHF8zn1Q3MbNU+2jMKyOIQ0vDLwErwVnxy8h1avDJRkmjK+Q7ukLQXLtv9AnzhNIjobraEs5mdEiK2lZf6vyzNM5XDQ1WVAuUMuNkOhWGiz/utGiDqyh/d+F+GhW8QIfoeAJYH7gzO2xTx63S8xK5D/URpYttcydJ3AQfi6kk30hq8/glMWBQ4gckqT6j6kX9Lei7wd3yy0sSK1q7g9GfcYdCGUidd2Kdk7DF8HFyZFt/KCbhkd/O4pY79XKnsLHl6iGajdCsjLEGW86oQzf71O4nto4i/SnqNBT46Sbvgqk4dKHHcFuKG4Jg7Ae9f/oUHclI4DM/cviy06xY5eXQUIctjdzxz6wYaZcd94vO4dPTtZvHMTbXKAm6Qq/b0VA8FPgJcJVcbFP4MvDNiNzSY2ZOSVpb0HzkLJmtl4D8Tdxo+NzgUBiJMkYkHzeyC3mZjeMTMHpGEnAz+bkmDEHoZVmnQMNrbDLCNi/i6CUsIuDQhacvYduss35vCBMHKOfyqUsllGWCpJAyNk+tnwDJ48CEKtTiLr8SDWFV/fQW+Fh0ENsITBr6H9/c74WvX/SSdZe2K5qub2etr7z8ur2IaOEbGIYSTWb4Tz5boUBmiDwJTCwz/ZnZ5iH6tHY51T48B72DgbfgC7114ffvXYobyVPHTrL32e08z+0ppeycCBZGPYdfWlmC7ZtRCToB6VtOwjwjz/vhk7FHcOfJDPJI+XjxmZlZlpsnJLZOwfLK1njxUZvbV8Lcn6fEIRV+K77cRcsqWEH2X4LAMmypTEVp9Zf3/2ILpFOA6tddcf71pFKJCx0ja3xJKUxMFJcoTJqEp54dF7GdoTaRjY8Mlcu6Humzxj7ocN9dJV5W5nogrgD0Qs6nhNIbjrARf8H6edqns2OJicYuTm8cwrGyUXOdVNkKG2HRc6WYkOYO6YD/gNDmxK8DvSGeODQVm9p7w73Fyvp+uAhDEs3mj97SkX+EKdWfiioqDUuv6LfCzlDMooCK8NjIyJQDM7EJ5WcQ78XafQ8v5PJG4F/iJnCunnnUbK119DT5ffy6+wFoZ57n5z6btEFEinAHwu9B/nwNcLOl+WsTRfSNkpH2n9v6PdM/szcXA22tBUU0JJadxthdJz8fLiKps+Ctx0ZTfNUzrDrOZuLO3onCYwiRA5RUWVYBnR1zq/fty9dHxYiicXLgz6G5J15MOsm4Ugn1vDt/dnFcPAs/HA4CVEMVcPAC4Jf4M1B1CD0vawtpVgYcyNowMh1AFeY14h8qQBfLDPo+5I04K/Uv8gq6K1/mXRBZSx+6Qs9Uk1H7nQi2STfDU6xnAQ4mU55GA4vw2HdvC9iK+A0m7mdlZvbYVtrdYwrng2CWSl7kD8wIJOU/EB3BOiXeGDK+1zOz8CW7HtrhDLYfoe5jtWA54Ae1kx1EHsAolS1WmBjRwqEC2eMjtWAx4N37uuo5P8jKlKgp6RT1DJWL7ETzKXHfSnWFeSt20XQPPkNwdj/bOAy6KLVIlXWVmWzS3DwLKlMpWpjz9MCHpJOAB2p1Xy5nZWwZw7GsswW0wqgjZBo+qJqnbJaNwWG0o4iaTdCLexx6MlyccgBOs7xexnWVBPWnAbf467mS/gPa+PuYwiaqHWpwnYqhcMblQi2euDrMIeb+c+3Ab4Efm/DlbA2+0wKc2EZCrbzVhOectZJAtDVyYkxE12Rh0eyVdiwdbq0Xpkvg40jdpbjjOxXhwtV5qs7d14QYL+60I/E8jG2IKEwgVcvhJOh/nJdwe52p7GOdU7JtnJxx3WJxcUW6w+jxZ0gH4HG81/LeNfUQXfrLCdtwNvMjMHg/vFwVuNbO1m79T0vp4ELdNFbhH8KS/do2gQ+hMvCThtLBpL2BpM+s73Tec/J0sEOPJpfS+b2mi4Xo0usKD+OT7k2b294btetVkPHjZbzOziYyS9IXguNgFmG1mIyF5WoekV+Ey5G/AeWIqzML5OV4S2SebqDbYZzubCtt+O+6seAXekfzQIhLOw0S/A/OCAnk6/o04C/+6wUF0ddNBOwHtGCjRd7WIbzhvoQtfRWJBcXVqcVXYnqgakJkllRoXVoTxaT5eJggDGJ9qxy510k3DM+uOxSN184Bj6ov6YTkrwzj3IzPbOsO2Ig8dhsJXFiLOqx/hY/m4M0ckHYs7/8+iPatiQh3CJZD0fWCXaoyU9Gx8TpRSdB3kd8/ESz4vxfuVOjfZhV3mZYvj2bxVxs0PgcMtItcraU38uXhWGBvWA15jZuOKXiccJtFs3NgCJrWoCfOFiitmAwWuGDMbOE9EN5QEyBREHYJj6MXmfFDjIl2dCIS+61m085n9pmFTRFa9ICIRzO7YNlHHDeuROywiIDKFiYVaFRb/DTzbzKKZY6FP3gF32vxcXir5Issg3e/x/UNxNBW2oUiBtvDYH8VpRc4Nm3bGy8c+h4to7V2zrbgKlwx//4X7I260PBXrbIxSyViFdRsdwqWSckppumG+task3ItP6lO4AJ9gnx7e74FPYP6El1bsXLO9EDhDTigHXmJ24TjbOyEITqxzwiRn5BxCuLzmDcBraC9FmE9Cttgy+Q5qzqbnSfpi7aNZeAbCeJEl4TxkrGBmdVb7r0s6cNJaM3isbma7S9oTPG07TComGj2JvktQZXRYmbz3wMkna9iVlhrQvgpqQAM69oKGYYxPQBExImGBuy/eh30bD6BsgSuJ1Sfe++LOyhnUnJVEylYK2/qkpKckLW091C7MbKlY9toEY4lm0EPOxTEIOdeZOJdUPSth3Od4yDgH52vcFScE/R4++Z8IxLjJDB/Xu2XQrhNei4TXLvjcIKaCdwJeklKVT98m6XRgXA6hmOOnC6ZJWtba1UNTc+5hcduU4hA6S/Fj28D5GZfEswhOk/QXag7RYUIFwhmN/fbHFXv+THt/2LyHSsmqF0Q8JGlDayk5bcRgSlH+LumNtMql98T7xzaondx6Gj5u9cMVO4UBQYUcfja8UslhcXJlY1jOoHDswyVdQKt6Yz8zq7i99m6Yb0w739DepPmGxoVRdAiVqAx1hdrJ/X6A15MbzjR+fZddt2tkiNxeZY2Ejq6OD+N139XNczEJvqFRQO2cgHfCG+OKEiMHM7sVuDVM5EQ+B1QOip1NhdgU2FtSloTzkJA1MC/AeExewlNl561OLQtiApFD9D1sDHNBUaQGtJBjYONTv5BzCD2AL1oOrmVI/DREtusYqLOygX/hY+PFtPdxTb63aPYaMO7stQJcKemjZnZmaNNBOE/guKPRlkmiOkowsxPkvIrn4MSZ7zKzQYgp5Hx3xU32MbxE5J8hYroh3UmlT8OdVj+jNx/W4mZ2XSM+MO5AT7jXd7P2MrBvmVlMoa9EPXQo3Da56DNAtgs+d3w/vkhZmonjdSsRzqhjDl5W3mseVEpWvSDiQFpKTsK5NpNKTgV4K+7Y/QI+N7sazzZpoj5uPgF808wmQ9l2Ci0Mi8OvCEN0NI0MggMoZ+5Ywjc0LoyMQ0jDUbWqZ/L8GajqB/9K90jldEkvMbPrQts2oSVX2nxI1jaz43COouq3vJyghDGCqJ+TJ3AvcEpyflSwPR7pG+OAkjQuDqias+m0IXV8pRLOw0DuwLyg4jA8G29FSafh3vbJWJz1JPqeAAxzQVGqBrQwYyNa4xO4CsY91fg1Qdd8NzOLyp9GSkyG6az8DnlZMMPMXsvFy4Hj5WIEz8LJbztKjvtBKIF6G06mW+fYGpQiycDQyKgQfv/eAswOjs5oZsWQsKuZfULSFnh2VS/i0L+a2XmJz5r4WwgQVMGCXRnMgmIFqxG5m9n9cpWtDliBeqiZvS78e5icF2dpJjbTvJ9s7Ho20MnDa1r0u7OFMxr4LV5u0QulZNULHMzs+tAXVwGDeyxwmowTn8A5TuqZcUfTqdB0Ng1Sa0mLB2fAFCYBuRUWCyrkpeMPm9lT4f00YOaI33PPpD3Q/TheCv2wpIEGwEeGQ0gJstwKVi6JO562bIKnyi2JT5r+iU/47gR2rKKMwfZnOOHTZ/HJ4GeAjW1ESSZVQHQ4KlAhB1TmMc80szcozhc10Zk8Q0G41gc2B+ZRvtalkPQM3CEjfMEZlU4echuyib4nAhoiWaakVeitBrTQInec0pA5KORCCU0HRIz49S5gdWAozsqQobeSmSVLryRdb2abyKVSNzUnM77DJphnT64IegieXbLHoDJiQgbI3Tif1CfwbIm7zGzOII4/SCjBgVOhjwX2eNpSRByqAj4suRz98cDmOAnnfTh/3rj65JCd9zoLnDOhP/iujZNzcFQgaYa1iE6XBVZs9vXq5LYb+4iJ5wYrEs6QE5OvhUfYk6TgGgdZ9YIEDUEsIvYMJ7YNhdR6ClNIYUG851TANzRejEyG0GQtnmIws+uBF0laOryvRxTObJhvChyFZ18shac1N9P2RwnrRSJcI6mIVkMpB1QOqsl6sdz5AoT1KmcQgJn9YwG41tlQS5Hm+5FtE4ZR6rsgrSxWCjnJcfKzhSlamouCaz00DgpJx+Gcdlvj5cm7AtclzHcY5Hc32rEzHvn9DzxrcwPgE9Yu4QqTXA4T2vojPAtiXbzc8URJV9hg5OLXMLPdJO1iZifLS5yTvAuTiYl0+GTg93Luxe2Bo+RKK9O62Pfkw2pkQP0AJ66ehpc0vh4vhxgPPgJcJely3AHyMpwyYGHBxXI5+UXwvusvkq42s7EsISvjths25uFcn7uF928M21LCGb8Jr/8Irygsgyx/QYcSYhF4gHs8yOXOmlktzGFM6XDxcX73FKbQDQvcPWdlfEPjwsg4hEYJwRE0lyAZHAb/T1icPPNxnIhtMdzLfl+VjjaiKCE6HBVEOaAU+JBiEcJeCDWpI/vs+jEAABIlSURBVLeYHzAWxGvdE2qp1Cwfoph1lZrnTVrDFj58rvZ/h9oZ7SS6U2jHMDkoNjez9STdZmYfl/Q5XAihA0Pu3w7Dy64uC991S8jMaLZhssthAL5sZueE/x+QtBnw/wZ07KrM4oEQcf8TnuY9slAZF86wUEocmsOHVTkr1sLLFM/F+6t9SDtNs2FmFwZH+eyw6cDJyEodIpY253R6O3CKmc2VNMrZoEXCGb0couqTrHoBxbDEInK5s4ZFaj2FKaSwQN5zls83NC4s8IvDHEha1czu67WthpNw4sJKSngfPOoQkwC9Hp90bAysABwn6fVmtlvEdhRQQnQ4KphJJwfUYnjqXF9qLqOU9jxELIjXOgcxlRrw0s4vT1ajFjZUUdJQFvQeXMXK8OyHYyexaQsChslBUU1g/i3puThR/HMGcNxSPG5mD6qduLdrMGRQ2WulMLNz5Fw1LwgLyGUZnFLe8cGhciieyr0kLnE/ysjmwhkWrJw4tCcfVrXgl3QFTsQ5P7w/jFom6TixKPAPfP68jiTM7IoBHXuysUhwzL0Bz4YadRQJZ0haAfgQneW2VXCjX7LqBRFDEYuwfO6sYZFaT2EKKUzdc10wMhxCw4SCQlhj241mtlHC/hYz26DXtrD9JXg0alVzgsSVgDeZ2bjkTYcJSevQ6qx/3G2CNQqQ9AzrrQoxhQgWtGtdAkn7m1k3meIpDACSzsSdbaeFTXvhkeQ3pPd6emOYHBShpvxL+HP9v2Hz18xsQp0QgY/jEuBgvBznAGCGme03ke3IQSiP2BhXGFozONLOMrO+y7sTWQSVd8xGOZtgQeTCUQEflqR78JLpR8P7RYHbMjKMerXhKHwBcQe1srVImeQCCTnp+keBq8zsPSHj77Nm9vpJbloU4b79ErAZLeGMA6r7OmJ/EXAGrla3H/BmnKz8wxPT4tGBpK/gWZJ7AAfhYhG32ASqJkqaweBJracwhSSm7rk0FmqHkJxB/z9xoud6KvIs4IOWILWUdE34/Krw/qV4WnMHUbSkY/GJwTZm9sIQKbzIzDYZ7K95+kLSz3EllHnABbYw37RTKIKkzXHZ5LFsRxsnKeIU2iHpTjNbp9e2KUwMQsbWu3H+krGMLTN7ZILbsTieRfCKsOmHwOHVInyUICe0fjFwkwVy01By1ze5tloEzVV50vfC+52B68zsjeNo8lAhaQecdLmNC8fMfjipDesCFZD3S/oInuXy3bDptcAZZnbkONvQ5miawoKFKhBcf/YVSO8bdkVk1Qs69DQXi5jCwg1J25jZjyuakSb6oR1ZGLGwl4ythZMGL0O73Pp84B1d9tsPOCVwCYGrVLw5YbupmW0o6WYYS72eMb5mT6GBNYHtcNnKL4aMha+b2f9NbrOmMJmQdCoeMb6FFnGvMX5SxCm04ya5JPW1AJI2ZQLqmRdETBAHxcn4GPbF8H4v/J6f6IytdcJrkfDaBZetHkWFxsfMzCRVMuRL9NqhFyaoPGkoWBC5cEr4sMzsU4GI82Vh075mdvMAmnEvTmq9UDqEJM0jrro6ksqkKlfNrbIB/ihXavwDsFzErpSseoGBpsQipvD0w1bAj2n3A1Toi3ZkYcRC7RAys3OBcyVtZmbX9LJvTOJPoVVP/BDukIh5zx+XNJ0wiIYa5akMlgEiZARdjCtgbI1zP7xH0q3AwTnXdgoLJTYG1pnKGBs6NsL5O6o0/JWAeyTdzgAlzBcSTAQHxbqN7KxLJU1GKehpeOnFz+jBHTQCOFOuaLWMpHfgwYUTBnTsZwGP1d4/FraNOjYnCGcEnD9ZDRkGwsJ20IvbfwO3SLqEdm6wAwb8PZOF+j0wE5c7/sMktSUHpaq5nwyB3oPwDKBZOK9IE0Vk1QsYpsQipvC0gpnNDX8nrBxyQcRC7RCq4c+SzsOjYQZcA7zfzO5t2KUUKt5IWqHii3ha8jMlfQpn7j90sM1/ekPSM/BrsA9OLr0/np6/AXAWsOrktW4Kk4if4aRw3YhIpzB+DE26fGGDmX01/B2mvPeoZGz91czOm4TvLYaZHS1pe5wLay3gY2Z28YAOfwpwnaR6edLXB3TsoUDSp/E5TsULNkfS5mY2KOW1hRXX0CoNrLDQEBCb2bfr7yV9E5ciH1WUKqnuhvMj/QzYOtgfDTT7sSKy6gUJky0W0S1DKbRvKkNpCkOBpDl4pt98PCC0IZ5UcNGkNmxEsFBzCFWQdC1Ovll17nsA+5vZpgn7K4AdayngSwHfN7MtE/ZrA9vizqNLzOyuAf+EpzUk/R9wKjCvWcMt6cNmdtTktGwKk4lA3LsB7qytR2sXCoLPKSy4GCYHRSDXXQtoy9gCnmACM7YkbYsvlJrZEk+79OuwyKnKk64YUHnS0CCXEt/AzJ4K76fj8tNT2X5dIOkmXDTkZ+H9nni5XXQuuaBD0lr43HeNyW5LDJLehBMj15VUj0jxCEq6ueIQ67GtiKx6QcRkiUUkBBcqDER4YQpTiEHSrWa2vqRX4tQwhwKnjrKYwkTi6ZIhtLiZnVp7/w1JH0xaF6aAm9ndwN3ja+IUYggT1fPM7PDY51POoKc1DpvsBkxhCgkMk4NiVDK29gXWxjlVxhSXeBrW4w+pPGnYWAaXTwdYupvhFMawK3C2pL1wB+CbaJGqL/CQNJ9WGZHhGdkfmrwWdYflS5xXyMooCnxVC3tgaVJKj6sMpSlMYRJQqYC+GjjFzO6QpG47PJ3wdHEIXSDpYOBb+CC3O/CDMBhgZv9o2C9wKeALK8zsyaAkNYUptMHMLp/sNkxhCgkMjYOihFx3yNjExinjPYVJw5HAzSFaL5xL6ODJbdLow8zulbQHcA6eofcKM3t4kps1MJjZUmFe/AKcQwhGmBNT0qlmtg9wZ2RbDJ8DrpFUzyj6VOS4pWTVCyImvfRY0rq4MEF1r02pxE5hmLhR0kU4zcghofpn1PkPJwxPl5Kx+7p8bGa2WmSfBSoFfGGGpGOB5+FpwQ9V25+OpQlTAElXmdkWjWgmBFJEM5s1SU2bwhQACKSz82jnoNjXzLadvFYNFkGR6LM9IvJTGFFIeg7OIwRwnZn9aTLbM8qoCPRrm54JPEgolVxYSu0kvR2YAzwfV++cDVwzqmU8km6ql3uEjPLbG5kvzX3WoZVR9ONY/5VbWrYgonYvz6BVemzAysDd3c7dgNsxF3g57hD6AfAqnN9p14n4/ik8/SBpGk4zca+ZPRD4aZ9nZjHBqKcdnhYOoSks2AgLjyZsIYvWTGEKU1hI8DThoLgLWB24D18YVw7ZkVscS3opXmK6Mp4ZXbW1Ixi0MGOK0LU/hOc5iRHK2hsXgrNgE+BaM9sg8GMeYWb/NclNa4OkQ3DuoMVw5beq7OMx4HgzO2Scx78VeHmjtOxyM3vReI47ChiVeznca+vj3GXrS3oW8A0zG0RZ9RSmEEXI9qtnQGJmV0xei0YHT4uSMUmLAx8AVjKzd0p6AbCWmS1UMqsLMaYRSd+d3CZNYQpTmEIcTxMOilHhMsrBicD7gRuBJye5LZOJKcnpPrCwOHwy8IiZPSIJSYua2d2BWHqkYGZHAkdKOnK8zp8EYqVlRwzheyYcI3QvP2xmT0l6QtIs4C/AipPdqCksvEhlQDI17gFPE4cQnrp/I1Bx0fweLz+acggtGFivcgYBmNn9khb41N0pTGEKCyeeDhwUI7SwyMGDZnbBZDdisjHZktNTGHn8TtIyOEfSxZLuB0buOf//7d1diF1XGcbx50kQAyUmLW1FaI3ohTGFEPphAn4UoeJNEWtJpTFKLZKLVhopCC0iemPrTf0gCqWCUBttTUBaQQgElFhNCw0hGCy5bMtgJDRt7VSYhraPF3vPzMlkkpnOzD5rz17/H4Rz9jrJyRMIZ855z1rva3tzO8zl4Hy73pa7020Jzarx/h1r/6/9Ws3ns7fUfDgHurJXszsgvzC9A7Jwpt6o4siY7WNJbhw9Azw9fq50NixsyNt3AQzPkHtQrEa2fyJprZoJaG9Pr9d6RKrUyGmsHrZvVjN97lCScwv9/nGy/Vi723++EebLHl0+X2PqBZpVYxlsf0zSh+jlgi7ZfiHJTbZPSNqe5G3b/0pyXelsfVDLDqFz7TdikSTbn9DIm0L03qImQwBATyxqvDHGZnt7e+PIWs1HpIqMnMbq0ecpnkn2tLddjTA/7wNi26z6ho7+rirZ/vx8a/RzQYdWxQ7IUmp5g/pDSYckXWv7d5I+I+muoomwaGzfBbDKDLYHxWrU4QfH1ar4yGlguWyv04VHHx9NMrXE55tpVm37Tc1pVr38xBjxvZH76yR9Ws3RsVqL9OhYktvauz9qdxduUFMbgCo5MiZJ7Xi5HWpe4J9P8mrhSACAgVrMeGN0y/buJPtt3z/f40l+Ou5MJfVl5DSwEtqjj5OS9rdLuyRtTLJzmc/bVbNqXITtayX9PMntpbMANapih5Dt29S8If9ze73R9leSPF04GgBgYEb6Tbw4zxrG57L2dn3RFP1xa+kAwApa0aOPXTerxiVNSPpU6RBArarYIWT7RJJtc9Zo8AkAWHG2jye5fuR6raST7MAAgJVhe7+kX845+nhvkm8u8fk6bVaNWbb3qe3rKmmNpG2SXkqyu1wqoF5V7BBS82IzVy3/dgDAGNCDop9sXyNpn5r+gVLTa2RvkolyqQAsxZyjj0dtn3f0canPO4Zm1Zg12rPsHUlPJvlHqTBA7WrZIfQbSW9I+lW7dK+kK5LcVSwUAGCQ6EHRL7YPS/q9pCfapd2Svp7ki+VSAVgK25su9XiSZU0OWulm1biQ7b1JfrHQGoDxqKUgdJmkH0i6Rc2L+2FJP07yv6LBAACDMd2DYr7+ExI9KEq5yLHxC9YAoKtm1Zg191h1u0YrD6CQKo5NtYWfB0rnAAAM2v2S9qgZOz9XxEjdUs7a3i3pyfb6TklnC+YB0F8r2qwas2zfqabA9nHbfxp5aL2k18qkAlBFQajdLr4zyRvt9eWSnkrypbLJAABDQQ+K3rpbTQ+hn6kpzB2V9K2iiQD01XHbO+Y0qz62wJ/B4hyVdFrSlTr/i5NJSf8skghAHQUhSVdOF4MkKcnrtq8uGQgAMEz0oOiXtqfIl0vnANBfXTWrxqwkL9uekDSV5EjpPAAatRSE3rP90SSvSDMN6YbfPAkAUMJv1Xzjua+93qWmoTE9KAqw/biaqWKju4QfSXJ32WQAeuTW0gFqkORd2+/Z3pDkv6XzAKinIPR9SX+3fUTNGODPqenzAADASqMHRb9snWeXMM1LAcxY7nQyvC9vSTrZtvSYGfCT5L5ykYB6VVEQSnKonfqyo136bpJXS2YCAAwWPSj6ZY3ty5O8Lkm2r1Al738AoIf+2P4C0AM1vSF6V9IZSeskbbGtJH8rnAkAMBD0oOitRyQ9Z/tge71T0kMF8wBAtZI8XjoDgFlOht9Kx/a3Je2VdI2kE2p2Cj2XhBHAAIAV0fanuyiOJJRje4uk6Z/5f0nCET4AGCPbB5LcMfLlyXmSbC0QC6heLQWhk5JukvR8km22N0t6KMlXC0cDAAAdsv1Ekm8stAYA6I7tjyQ5fbEvT/jSBCijliNjU0mmbMv2B5Ocsv3J0qEAAEDnrhu9sL1W0g2FsgBAlZKcbu/eLumpJP8umQdAY03pAGMyYXujpKclHbb9jCSq0AAADJTtB21PStpq+03bk+31GUnPFI4HALVar+bz2LO2v2P7w6UDATWr4sjYKNs3S9og6VCSc6XzAACA7th+OMmDpXMAAGbZ3irpa2p2DE0kuaVwJKBKtRwZm5HkSOkMAACgW7Y3Jzkl6aDt6+c+nuR4gVgAgMYZSf+RdFbS1YWzANWqbocQAAAYPtuPJdlj+6/zPBwmjQLA+Nm+R9Idkq6SdFDSASY/AuVQEAIAAAAAdM72w5L+kORE6SwAKAgBAIABs71O0j2SPispkp6V9GiSqaLBAAAACqMgBAAABsv2AUmTkva3S7skbUyys1wqAACA8igIAQCAwbL9YpItC60BAADUZk3pAAAAAB06bnvH9IXt7ZKOFcwDAADQC9WNnQcAAMNn+6SankEfkHTU9ivt9SZJp0pmAwAA6AOOjAEAgMGxvelSjyd5eVxZAAAA+oiCEAAAAAAAQGXoIQQAAAAAAFAZCkIAAAAAAACVoSAEAAAAAABQGQpCAAAAAAAAlaEgBAAAAAAAUJn/A4AeWkKHswJCAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 558
        },
        "id": "VrztSStTWRoP",
        "outputId": "f8000412-1a24-4886-cd52-346148f2fb6f"
      },
      "source": [
        "stem_df.explode('keywords_classes').keywords_classes.value_counts()[1:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions Lemmatized', figsize=(20,8))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f7fa7d208>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q1pdsyNxvCz3"
      },
      "source": [
        "# Configure Yake to yield longer keywords\n",
        "- `setNKeywords` to increase number of keywords extracted\n",
        "- `setMinNGrams` Minimum N-grams a keyword should \n",
        "- `setMaxNGrams` Maximum N-grams a keyword should\n",
        "- `setWindowSize`Window size for Co-Occurrence\n",
        "- `setThreshold` Keyword Score threshold\n",
        "- `setStopWords` The words to be filtered out. by default it's english stop words from Spark ML "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wom1E_BdLo0l",
        "outputId": "a59bcad2-ad8c-46be-9a86-4b580a1e553c"
      },
      "source": [
        "import nlu\n",
        "\n",
        "yake_pipe = nlu.load('yake')\n",
        "yake_pipe.print_info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The following parameters are configurable for this NLU pipeline (You can copy paste the examples) :\n",
            ">>> pipe['yake'] has settable params:\n",
            "pipe['yake'].setMinNGrams(1)                         | Info: Minimum N-grams a keyword should have | Currently set to : 1\n",
            "pipe['yake'].setMaxNGrams(3)                         | Info: Maximum N-grams a keyword should have | Currently set to : 3\n",
            "pipe['yake'].setNKeywords(3)                         | Info: Number of Keywords to extract | Currently set to : 3\n",
            "pipe['yake'].setWindowSize(3)                        | Info: Window size for Co-Occurrence | Currently set to : 3\n",
            "pipe['yake'].setThreshold(-1.0)                      | Info: Keyword Score threshold | Currently set to : -1.0\n",
            "pipe['yake'].setStopWords(['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', 'her', 'hers', 'herself', 'it', 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', 'should', 'now', \"i'll\", \"you'll\", \"he'll\", \"she'll\", \"we'll\", \"they'll\", \"i'd\", \"you'd\", \"he'd\", \"she'd\", \"we'd\", \"they'd\", \"i'm\", \"you're\", \"he's\", \"she's\", \"it's\", \"we're\", \"they're\", \"i've\", \"we've\", \"you've\", \"they've\", \"isn't\", \"aren't\", \"wasn't\", \"weren't\", \"haven't\", \"hasn't\", \"hadn't\", \"don't\", \"doesn't\", \"didn't\", \"won't\", \"wouldn't\", \"shan't\", \"shouldn't\", \"mustn't\", \"can't\", \"couldn't\", 'cannot', 'could', \"here's\", \"how's\", \"let's\", 'ought', \"that's\", \"there's\", \"what's\", \"when's\", \"where's\", \"who's\", \"why's\", 'would'])  | Info: the words to be filtered out. by default it's english stop words from Spark ML | Currently set to : ['i', 'me', 'my', 'myself', 'we', 'our', 'ours', 'ourselves', 'you', 'your', 'yours', 'yourself', 'yourselves', 'he', 'him', 'his', 'himself', 'she', 'her', 'hers', 'herself', 'it', 'its', 'itself', 'they', 'them', 'their', 'theirs', 'themselves', 'what', 'which', 'who', 'whom', 'this', 'that', 'these', 'those', 'am', 'is', 'are', 'was', 'were', 'be', 'been', 'being', 'have', 'has', 'had', 'having', 'do', 'does', 'did', 'doing', 'a', 'an', 'the', 'and', 'but', 'if', 'or', 'because', 'as', 'until', 'while', 'of', 'at', 'by', 'for', 'with', 'about', 'against', 'between', 'into', 'through', 'during', 'before', 'after', 'above', 'below', 'to', 'from', 'up', 'down', 'in', 'out', 'on', 'off', 'over', 'under', 'again', 'further', 'then', 'once', 'here', 'there', 'when', 'where', 'why', 'how', 'all', 'any', 'both', 'each', 'few', 'more', 'most', 'other', 'some', 'such', 'no', 'nor', 'not', 'only', 'own', 'same', 'so', 'than', 'too', 'very', 's', 't', 'can', 'will', 'just', 'don', 'should', 'now', \"i'll\", \"you'll\", \"he'll\", \"she'll\", \"we'll\", \"they'll\", \"i'd\", \"you'd\", \"he'd\", \"she'd\", \"we'd\", \"they'd\", \"i'm\", \"you're\", \"he's\", \"she's\", \"it's\", \"we're\", \"they're\", \"i've\", \"we've\", \"you've\", \"they've\", \"isn't\", \"aren't\", \"wasn't\", \"weren't\", \"haven't\", \"hasn't\", \"hadn't\", \"don't\", \"doesn't\", \"didn't\", \"won't\", \"wouldn't\", \"shan't\", \"shouldn't\", \"mustn't\", \"can't\", \"couldn't\", 'cannot', 'could', \"here's\", \"how's\", \"let's\", 'ought', \"that's\", \"there's\", \"what's\", \"when's\", \"where's\", \"who's\", \"why's\", 'would']\n",
            ">>> pipe['sentence_detector'] has settable params:\n",
            "pipe['sentence_detector'].setUseAbbreviations(True)  | Info: whether to apply abbreviations at sentence detection | Currently set to : True\n",
            "pipe['sentence_detector'].setDetectLists(True)       | Info: whether detect lists during sentence detection | Currently set to : True\n",
            "pipe['sentence_detector'].setUseCustomBoundsOnly(False)  | Info: Only utilize custom bounds in sentence detection | Currently set to : False\n",
            "pipe['sentence_detector'].setCustomBounds([])        | Info: characters used to explicitly mark sentence bounds | Currently set to : []\n",
            "pipe['sentence_detector'].setExplodeSentences(False)  | Info: whether to explode each sentence into a different row, for better parallelization. Defaults to false. | Currently set to : False\n",
            "pipe['sentence_detector'].setMinLength(0)            | Info: Set the minimum allowed length for each sentence. | Currently set to : 0\n",
            "pipe['sentence_detector'].setMaxLength(99999)        | Info: Set the maximum allowed length for each sentence | Currently set to : 99999\n",
            ">>> pipe['default_tokenizer'] has settable params:\n",
            "pipe['default_tokenizer'].setTargetPattern('\\S+')    | Info: pattern to grab from text as token candidates. Defaults \\S+ | Currently set to : \\S+\n",
            "pipe['default_tokenizer'].setContextChars(['.', ',', ';', ':', '!', '?', '*', '-', '(', ')', '\"', \"'\"])  | Info: character list used to separate from token boundaries | Currently set to : ['.', ',', ';', ':', '!', '?', '*', '-', '(', ')', '\"', \"'\"]\n",
            "pipe['default_tokenizer'].setCaseSensitiveExceptions(True)  | Info: Whether to care for case sensitiveness in exceptions | Currently set to : True\n",
            "pipe['default_tokenizer'].setMinLength(0)            | Info: Set the minimum allowed legth for each token | Currently set to : 0\n",
            "pipe['default_tokenizer'].setMaxLength(99999)        | Info: Set the maximum allowed legth for each token | Currently set to : 99999\n",
            ">>> pipe['document_assembler'] has settable params:\n",
            "pipe['document_assembler'].setCleanupMode('shrink')  | Info: possible values: disabled, inplace, inplace_full, shrink, shrink_full, each, each_full, delete_full | Currently set to : shrink\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8HIu9gluf3eo"
      },
      "source": [
        "## Extract more keywords"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 700
        },
        "id": "sRXYVDMmYwe0",
        "outputId": "f1b361b8-b08c-4816-b181-2d4f05b2b6fb"
      },
      "source": [
        "yake_pipe['yake'].setNKeywords(4)\n",
        "key_df = yake_pipe.predict(df)\n",
        "key_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\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>keywords_classes</th>\n",
              "      <th>keywords_confidences</th>\n",
              "      <th>text</th>\n",
              "      <th>document</th>\n",
              "      <th>title</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>origin_index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[update, china, lead, china lead]</td>\n",
              "      <td>[0.579886257648468, 0.579886257648468, 0.57988...</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[price, levels, week, price levels]</td>\n",
              "      <td>[0.579886257648468, 0.579886257648468, 0.57988...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>[bubble, highly flawed, citing highly flawed, ...</td>\n",
              "      <td>[0.28654029965400696, 0.2879781723022461, 0.19...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>[chinese, chinese, ban driven, banking crisis,...</td>\n",
              "      <td>[0.3288547098636627, 0.3288547098636627, 0.293...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by Chinese Banking ...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>[update, opened, position, opened position]</td>\n",
              "      <td>[0.579886257648468, 0.579886257648468, 0.26804...</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>[operations, satoshi resumes, resumes operatio...</td>\n",
              "      <td>[0.26804494857788086, 0.5066323280334473, 0.18...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1996</th>\n",
              "      <td>[nydfs, period, comment period, regulation com...</td>\n",
              "      <td>[0.45423248410224915, 0.26804494857788086, 0.1...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1997</th>\n",
              "      <td>[proof, solvency, audit, solvency audit]</td>\n",
              "      <td>[0.579886257648468, 0.579886257648468, 0.26804...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1998</th>\n",
              "      <td>[platform, support, growth, support growth]</td>\n",
              "      <td>[0.579886257648468, 0.579886257648468, 0.26804...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>[sell bitcoin, bitcoin fast, try coinrnr, sell...</td>\n",
              "      <td>[0.28912684321403503, 0.28912684321403503, 0.2...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2000 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               keywords_classes  ...                                              title\n",
              "origin_index                                                     ...                                                   \n",
              "0                             [update, china, lead, china lead]  ...     Bitcoin Price Update: Will China Lead us Down?\n",
              "1                           [price, levels, week, price levels]  ...  Key Bitcoin Price Levels for Week 51 (15 – 22 ...\n",
              "2             [bubble, highly flawed, citing highly flawed, ...  ...  National Australia Bank, Citing Highly Flawed ...\n",
              "3             [chinese, chinese, ban driven, banking crisis,...  ...  Chinese Bitcoin Ban Driven by  Chinese Banking...\n",
              "4                   [update, opened, position, opened position]  ...              Bitcoin Trade Update: Opened Position\n",
              "...                                                         ...  ...                                                ...\n",
              "1995          [operations, satoshi resumes, resumes operatio...  ...  Bitcoin Bill Pay Company Living Room of Satosh...\n",
              "1996          [nydfs, period, comment period, regulation com...  ...  NYDFS Extends BitLicense Bitcoin Regulation Co...\n",
              "1997                   [proof, solvency, audit, solvency audit]  ...  Bitfinex Passes Stefan Thomas’s Proof Of Solve...\n",
              "1998                [platform, support, growth, support growth]  ...  Cryptocurrency Exchange Platform AlphaPoint Pa...\n",
              "1999          [sell bitcoin, bitcoin fast, try coinrnr, sell...  ...  Want to Buy And Sell Bitcoin Fast and Secure? ...\n",
              "\n",
              "[2000 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 782
        },
        "id": "uaY0xeC7fPwf",
        "outputId": "9c249026-9b20-4b65-db4b-9cc79d1b4d35"
      },
      "source": [
        "key_df.explode('keywords_classes').keywords_classes.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions', figsize=(20,12))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f7f384588>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sy54PS5uvJjN"
      },
      "source": [
        "## Configure NGrams considerd"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 610
        },
        "id": "5yzMilbfYq5p",
        "outputId": "b267d406-3e04-4497-9b94-bbcbeac5ace6"
      },
      "source": [
        "yake_pipe['yake'].setMinNGrams(2)\n",
        "yake_pipe['yake'].setMaxNGrams(4)\n",
        "key_df = yake_pipe.predict(df)\n",
        "key_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\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>keywords_classes</th>\n",
              "      <th>keywords_confidences</th>\n",
              "      <th>text</th>\n",
              "      <th>document</th>\n",
              "      <th>title</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>origin_index</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[bitcoin price, china lead, lead us, china lea...</td>\n",
              "      <td>[0.7475647330284119, 0.37749895453453064, 0.56...</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "      <td>Bitcoin Price Update: Will China Lead us Down?</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>[key bitcoin, price levels, bitcoin price leve...</td>\n",
              "      <td>[0.7475647330284119, 0.4625011086463928, 0.814...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "      <td>Key Bitcoin Price Levels for Week 51 (15 – 22 ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>[highly flawed, citing highly flawed, highly f...</td>\n",
              "      <td>[0.23089197278022766, 0.1354624480009079, 0.13...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "      <td>National Australia Bank, Citing Highly Flawed ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>[ban driven, banking crisis, bitcoin ban drive...</td>\n",
              "      <td>[0.27564486861228943, 0.24952805042266846, 0.3...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by Chinese Banking ...</td>\n",
              "      <td>Chinese Bitcoin Ban Driven by  Chinese Banking...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>[bitcoin trade, trade update, opened position,...</td>\n",
              "      <td>[0.7475647330284119, 0.8779388070106506, 0.174...</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "      <td>Bitcoin Trade Update: Opened Position</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>[resumes operations, company living room, sato...</td>\n",
              "      <td>[0.17407101392745972, 0.3086637258529663, 0.13...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "      <td>Bitcoin Bill Pay Company Living Room of Satosh...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1996</th>\n",
              "      <td>[comment period, bitcoin regulation comment, r...</td>\n",
              "      <td>[0.17407101392745972, 0.3368493616580963, 0.13...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "      <td>NYDFS Extends BitLicense Bitcoin Regulation Co...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1997</th>\n",
              "      <td>[bitfinex passes, passes stefan, solvency audi...</td>\n",
              "      <td>[0.7475647330284119, 0.8779388070106506, 0.174...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "      <td>Bitfinex Passes Stefan Thomas’s Proof Of Solve...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1998</th>\n",
              "      <td>[alphapoint partners, support growth, platform...</td>\n",
              "      <td>[0.5619156360626221, 0.17407101392745972, 0.63...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "      <td>Cryptocurrency Exchange Platform AlphaPoint Pa...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>[sell bitcoin, bitcoin fast, try coinrnr, sell...</td>\n",
              "      <td>[0.23188748955726624, 0.23188748955726624, 0.2...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "      <td>Want to Buy And Sell Bitcoin Fast and Secure? ...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2000 rows × 5 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                               keywords_classes  ...                                              title\n",
              "origin_index                                                     ...                                                   \n",
              "0             [bitcoin price, china lead, lead us, china lea...  ...     Bitcoin Price Update: Will China Lead us Down?\n",
              "1             [key bitcoin, price levels, bitcoin price leve...  ...  Key Bitcoin Price Levels for Week 51 (15 – 22 ...\n",
              "2             [highly flawed, citing highly flawed, highly f...  ...  National Australia Bank, Citing Highly Flawed ...\n",
              "3             [ban driven, banking crisis, bitcoin ban drive...  ...  Chinese Bitcoin Ban Driven by  Chinese Banking...\n",
              "4             [bitcoin trade, trade update, opened position,...  ...              Bitcoin Trade Update: Opened Position\n",
              "...                                                         ...  ...                                                ...\n",
              "1995          [resumes operations, company living room, sato...  ...  Bitcoin Bill Pay Company Living Room of Satosh...\n",
              "1996          [comment period, bitcoin regulation comment, r...  ...  NYDFS Extends BitLicense Bitcoin Regulation Co...\n",
              "1997          [bitfinex passes, passes stefan, solvency audi...  ...  Bitfinex Passes Stefan Thomas’s Proof Of Solve...\n",
              "1998          [alphapoint partners, support growth, platform...  ...  Cryptocurrency Exchange Platform AlphaPoint Pa...\n",
              "1999          [sell bitcoin, bitcoin fast, try coinrnr, sell...  ...  Want to Buy And Sell Bitcoin Fast and Secure? ...\n",
              "\n",
              "[2000 rows x 5 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 850
        },
        "id": "FlHH08bwMbUW",
        "outputId": "0fcf7232-b212-4c5f-981c-9dc4e5e3d4c4"
      },
      "source": [
        "key_df.explode('keywords_classes').keywords_classes.value_counts()[0:100].plot.bar(title='Top 100 Keywords in Stack Overflow Questions', figsize=(20,12))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f7fcbb390>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x864 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}