{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "D7tqLMoKF6uq"
   },
   "source": [
    "Deep Learning\n",
    "=============\n",
    "\n",
    "Assignment 5\n",
    "------------\n",
    "\n",
    "The goal of this assignment is to train a skip-gram model over [Text8](http://mattmahoney.net/dc/textdata) data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     }
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "0K1ZyLn04QZf"
   },
   "outputs": [],
   "source": [
    "# These are all the modules we'll be using later. Make sure you can import them\n",
    "# before proceeding further.\n",
    "from __future__ import print_function\n",
    "import collections\n",
    "import math\n",
    "import numpy as np\n",
    "import os\n",
    "import random\n",
    "import tensorflow as tf\n",
    "import zipfile\n",
    "from matplotlib import pylab\n",
    "from six.moves import range\n",
    "from six.moves.urllib.request import urlretrieve\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "aCjPJE944bkV"
   },
   "source": [
    "Download the data from the source website if necessary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 14640,
     "status": "ok",
     "timestamp": 1445964482948,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "RJ-o3UBUFtCw",
    "outputId": "c4ec222c-80b5-4298-e635-93ca9f79c3b7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found and verified text8.zip\n"
     ]
    }
   ],
   "source": [
    "url = 'http://mattmahoney.net/dc/'\n",
    "\n",
    "def maybe_download(filename, expected_bytes):\n",
    "  \"\"\"Download a file if not present, and make sure it's the right size.\"\"\"\n",
    "  if not os.path.exists(filename):\n",
    "    filename, _ = urlretrieve(url + filename, filename)\n",
    "  statinfo = os.stat(filename)\n",
    "  if statinfo.st_size == expected_bytes:\n",
    "    print('Found and verified %s' % filename)\n",
    "  else:\n",
    "    print(statinfo.st_size)\n",
    "    raise Exception(\n",
    "      'Failed to verify ' + filename + '. Can you get to it with a browser?')\n",
    "  return filename\n",
    "\n",
    "filename = maybe_download('text8.zip', 31344016)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Zqz3XiqI4mZT"
   },
   "source": [
    "Read the data into a string."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 28844,
     "status": "ok",
     "timestamp": 1445964497165,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "Mvf09fjugFU_",
    "outputId": "e3a928b4-1645-4fe8-be17-fcf47de5716d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data size 17005207\n"
     ]
    }
   ],
   "source": [
    "def read_data(filename):\n",
    "  f = zipfile.ZipFile(filename)\n",
    "  for name in f.namelist():\n",
    "    return tf.compat.as_str(f.read(name)).split()\n",
    "  f.close()\n",
    "  \n",
    "words = read_data(filename)\n",
    "print('Data size %d' % len(words))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Zdw6i4F8glpp"
   },
   "source": [
    "Build the dictionary and replace rare words with UNK token."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 28849,
     "status": "ok",
     "timestamp": 1445964497178,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "gAL1EECXeZsD",
    "outputId": "3fb4ecd1-df67-44b6-a2dc-2291730970b2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most common words (+UNK) [['UNK', 418391], ('the', 1061396), ('of', 593677), ('and', 416629), ('one', 411764)]\n",
      "Sample data [5239, 3084, 12, 6, 195, 2, 3137, 46, 59, 156]\n"
     ]
    }
   ],
   "source": [
    "vocabulary_size = 50000\n",
    "\n",
    "def build_dataset(words):\n",
    "  count = [['UNK', -1]]\n",
    "  count.extend(collections.Counter(words).most_common(vocabulary_size - 1))\n",
    "  dictionary = dict()\n",
    "  for word, _ in count:\n",
    "    dictionary[word] = len(dictionary)\n",
    "  data = list()\n",
    "  unk_count = 0\n",
    "  for word in words:\n",
    "    if word in dictionary:\n",
    "      index = dictionary[word]\n",
    "    else:\n",
    "      index = 0  # dictionary['UNK']\n",
    "      unk_count = unk_count + 1\n",
    "    data.append(index)\n",
    "  count[0][1] = unk_count\n",
    "  reverse_dictionary = dict(zip(dictionary.values(), dictionary.keys())) \n",
    "  return data, count, dictionary, reverse_dictionary\n",
    "\n",
    "data, count, dictionary, reverse_dictionary = build_dataset(words)\n",
    "print('Most common words (+UNK)', count[:5])\n",
    "print('Sample data', data[:10])\n",
    "del words  # Hint to reduce memory."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "lFwoyygOmWsL"
   },
   "source": [
    "Function to generate a training batch for the skip-gram model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 113,
     "status": "ok",
     "timestamp": 1445964901989,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "w9APjA-zmfjV",
    "outputId": "67cccb02-cdaf-4e47-d489-43bcc8d57bb8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data: ['anarchism', 'originated', 'as', 'a', 'term', 'of', 'abuse', 'first']\n",
      "\n",
      "with num_skips = 2 and skip_window = 1:\n",
      "    batch: ['originated', 'originated', 'as', 'as', 'a', 'a', 'term', 'term']\n",
      "    labels: ['as', 'anarchism', 'originated', 'a', 'as', 'term', 'of', 'a']\n",
      "\n",
      "with num_skips = 4 and skip_window = 2:\n",
      "    batch: ['as', 'as', 'as', 'as', 'a', 'a', 'a', 'a']\n",
      "    labels: ['a', 'anarchism', 'originated', 'term', 'term', 'as', 'originated', 'of']\n"
     ]
    }
   ],
   "source": [
    "data_index = 0\n",
    "\n",
    "def generate_batch(batch_size, num_skips, skip_window):\n",
    "  global data_index\n",
    "  assert batch_size % num_skips == 0\n",
    "  assert num_skips <= 2 * skip_window\n",
    "  batch = np.ndarray(shape=(batch_size), dtype=np.int32)\n",
    "  labels = np.ndarray(shape=(batch_size, 1), dtype=np.int32)\n",
    "  span = 2 * skip_window + 1 # [ skip_window target skip_window ]\n",
    "  buffer = collections.deque(maxlen=span)\n",
    "  for _ in range(span):\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "  for i in range(batch_size // num_skips):\n",
    "    target = skip_window  # target label at the center of the buffer\n",
    "    targets_to_avoid = [ skip_window ]\n",
    "    for j in range(num_skips):\n",
    "      while target in targets_to_avoid:\n",
    "        target = random.randint(0, span - 1)\n",
    "      targets_to_avoid.append(target)\n",
    "      batch[i * num_skips + j] = buffer[skip_window]\n",
    "      labels[i * num_skips + j, 0] = buffer[target]\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "  return batch, labels\n",
    "\n",
    "print('data:', [reverse_dictionary[di] for di in data[:8]])\n",
    "\n",
    "for num_skips, skip_window in [(2, 1), (4, 2)]:\n",
    "    data_index = 0\n",
    "    batch, labels = generate_batch(batch_size=8, num_skips=num_skips, skip_window=skip_window)\n",
    "    print('\\nwith num_skips = %d and skip_window = %d:' % (num_skips, skip_window))\n",
    "    print('    batch:', [reverse_dictionary[bi] for bi in batch])\n",
    "    print('    labels:', [reverse_dictionary[li] for li in labels.reshape(8)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "Ofd1MbBuwiva"
   },
   "source": [
    "Train a skip-gram model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     }
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "8pQKsV4Vwlzy"
   },
   "outputs": [],
   "source": [
    "batch_size = 128\n",
    "embedding_size = 128 # Dimension of the embedding vector.\n",
    "skip_window = 1 # How many words to consider left and right.\n",
    "num_skips = 2 # How many times to reuse an input to generate a label.\n",
    "# We pick a random validation set to sample nearest neighbors. here we limit the\n",
    "# validation samples to the words that have a low numeric ID, which by\n",
    "# construction are also the most frequent. \n",
    "valid_size = 16 # Random set of words to evaluate similarity on.\n",
    "valid_window = 100 # Only pick dev samples in the head of the distribution.\n",
    "valid_examples = np.array(random.sample(range(valid_window), valid_size))\n",
    "num_sampled = 64 # Number of negative examples to sample.\n",
    "\n",
    "graph = tf.Graph()\n",
    "\n",
    "with graph.as_default(), tf.device('/cpu:0'):\n",
    "\n",
    "  # Input data.\n",
    "  train_dataset = tf.placeholder(tf.int32, shape=[batch_size])\n",
    "  train_labels = tf.placeholder(tf.int32, shape=[batch_size, 1])\n",
    "  valid_dataset = tf.constant(valid_examples, dtype=tf.int32)\n",
    "  \n",
    "  # Variables.\n",
    "  embeddings = tf.Variable(\n",
    "    tf.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0))\n",
    "  softmax_weights = tf.Variable(\n",
    "    tf.truncated_normal([vocabulary_size, embedding_size],\n",
    "                         stddev=1.0 / math.sqrt(embedding_size)))\n",
    "  softmax_biases = tf.Variable(tf.zeros([vocabulary_size]))\n",
    "  \n",
    "  # Model.\n",
    "  # Look up embeddings for inputs.\n",
    "  embed = tf.nn.embedding_lookup(embeddings, train_dataset)\n",
    "  # Compute the softmax loss, using a sample of the negative labels each time.\n",
    "  loss = tf.reduce_mean(\n",
    "    tf.nn.sampled_softmax_loss(softmax_weights, softmax_biases, embed,\n",
    "                               train_labels, num_sampled, vocabulary_size))\n",
    "\n",
    "  # Optimizer.\n",
    "  optimizer = tf.train.AdagradOptimizer(1.0).minimize(loss)\n",
    "  \n",
    "  # Compute the similarity between minibatch examples and all embeddings.\n",
    "  # We use the cosine distance:\n",
    "  norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keep_dims=True))\n",
    "  normalized_embeddings = embeddings / norm\n",
    "  valid_embeddings = tf.nn.embedding_lookup(\n",
    "    normalized_embeddings, valid_dataset)\n",
    "  similarity = tf.matmul(valid_embeddings, tf.transpose(normalized_embeddings))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 23
      },
      {
       "item_id": 48
      },
      {
       "item_id": 61
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 436189,
     "status": "ok",
     "timestamp": 1445965429787,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialized\n",
      "Average loss at step 0: 8.264635\n",
      "Nearest to not: ouadda, geldof, crystallizes, bioinformatics, flaminius, plight, conforms, cohn,\n",
      "Nearest to of: hyperion, ecclesiae, avery, preliminary, anders, unilateral, ottawa, promotional,\n",
      "Nearest to but: trusting, forgiving, mummification, gerry, estudios, coffins, fbi, sotho,\n",
      "Nearest to war: authenticated, shirt, dysplasia, disengage, rourke, federline, operands, abitibi,\n",
      "Nearest to its: prohibits, euskara, derleth, espionage, collation, deluge, bembo, wh,\n",
      "Nearest to has: hog, architect, hydroelectric, reconciling, member, muhammed, fulda, audiences,\n",
      "Nearest to known: ibiza, conversational, enjoys, ava, rare, boyer, thugs, phimosis,\n",
      "Nearest to time: unsound, perceived, gilded, ndebele, tuxedo, progeny, lina, qassam,\n",
      "Nearest to are: lunches, subjectivism, rigorous, zodiac, godfather, kappa, yoda, bonding,\n",
      "Nearest to american: jeux, sourcewatch, calwell, brahms, twh, juveniles, dreamed, combining,\n",
      "Nearest to over: carta, nikos, my, reprimanded, letterman, biconditional, demons, fanpage,\n",
      "Nearest to no: wonder, ignaz, puerto, debrecen, horseback, greco, langston, transponder,\n",
      "Nearest to had: embroidery, smallest, probes, rewrite, cimmerian, congresses, humpback, framework,\n",
      "Nearest to as: flagella, bastion, cowpox, hilt, spices, subscribed, otherworldly, supposedly,\n",
      "Nearest to nine: noah, regiments, dissipation, johansen, freising, suriname, weasel, associating,\n",
      "Nearest to is: gtk, baptise, prefixes, meribbaal, xia, armando, gzip, brzezinski,\n",
      "Average loss at step 2000: 4.369195\n",
      "Average loss at step 4000: 3.863247\n",
      "Average loss at step 6000: 3.785764\n",
      "Average loss at step 8000: 3.691525\n",
      "Average loss at step 10000: 3.617537\n",
      "Nearest to not: it, they, also, sometimes, he, never, you, who,\n",
      "Nearest to of: in, for, intermarriages, from, rejuvenated, and, cottages, preliminary,\n",
      "Nearest to but: however, discusses, commute, superscription, did, until, estudios, qh,\n",
      "Nearest to war: disengage, federline, abitibi, leyden, dysplasia, superlative, czech, tokelau,\n",
      "Nearest to its: his, the, their, prohibits, collation, stirling, yah, a,\n",
      "Nearest to has: had, is, was, have, crusades, calming, sweep, estuaries,\n",
      "Nearest to known: conversational, ibiza, used, apostol, manually, enjoys, ava, supra,\n",
      "Nearest to time: perceived, buckingham, qassam, wellesley, motivational, discernible, replicators, blaming,\n",
      "Nearest to are: were, is, have, beauvoir, functional, was, complication, alvaro,\n",
      "Nearest to american: jeux, calwell, tramlink, montenegrin, entire, fayyum, click, kgf,\n",
      "Nearest to over: my, nikos, until, standalone, biconditional, tired, conrad, dignity,\n",
      "Nearest to no: wonder, henley, debrecen, transponder, langston, rik, segmental, sabo,\n",
      "Nearest to had: have, has, was, were, rosalynn, veered, embroidery, refugee,\n",
      "Nearest to as: by, chosroes, referendum, played, flagella, myrdal, spectrometers, bede,\n",
      "Nearest to nine: eight, seven, six, five, zero, three, four, two,\n",
      "Nearest to is: was, are, has, be, does, cthulhu, slice, mountainous,\n",
      "Average loss at step 12000: 3.604574\n",
      "Average loss at step 14000: 3.574436\n",
      "Average loss at step 16000: 3.406878\n",
      "Average loss at step 18000: 3.457766\n",
      "Average loss at step 20000: 3.542967\n",
      "Nearest to not: it, also, never, usually, now, they, you, who,\n",
      "Nearest to of: filters, discos, intermarriages, freitas, homogenized, gigabyte, preliminary, flybys,\n",
      "Nearest to but: however, which, is, and, though, that, where, if,\n",
      "Nearest to war: disengage, federline, leyden, cecil, superlative, bangkok, athenian, shrunk,\n",
      "Nearest to its: their, his, the, collation, systems, infanticide, some, mentions,\n",
      "Nearest to has: had, is, have, was, crusades, imminent, sweep, bus,\n",
      "Nearest to known: used, ibiza, conversational, supra, transwomen, manually, forever, ava,\n",
      "Nearest to time: buckingham, qassam, discernible, nazism, year, perceived, way, seems,\n",
      "Nearest to are: were, is, have, was, functional, other, but, complication,\n",
      "Nearest to american: british, calwell, jeux, french, canadian, sacrilegious, and, dreamed,\n",
      "Nearest to over: my, nikos, curfew, after, biconditional, tired, dignity, until,\n",
      "Nearest to no: wonder, langston, there, compatibles, nick, inferior, cheat, regionally,\n",
      "Nearest to had: has, have, was, were, rosalynn, having, culver, beans,\n",
      "Nearest to as: pensacola, bix, myrdal, yitzchak, dart, kingfishers, intracellular, bluescreen,\n",
      "Nearest to nine: eight, seven, six, four, zero, three, five, two,\n",
      "Nearest to is: was, has, are, but, does, were, gizzard, be,\n",
      "Average loss at step 22000: 3.502944\n",
      "Average loss at step 24000: 3.490890\n",
      "Average loss at step 26000: 3.481496\n",
      "Average loss at step 28000: 3.479962\n",
      "Average loss at step 30000: 3.503358\n",
      "Nearest to not: they, now, still, usually, it, never, you, only,\n",
      "Nearest to of: in, preliminary, discos, from, for, and, own, ieung,\n",
      "Nearest to but: however, which, or, and, although, where, when, though,\n",
      "Nearest to war: disengage, bangkok, federline, leyden, superlative, cecil, shrunk, athenian,\n",
      "Nearest to its: their, his, the, incorporating, registering, stirling, balderus, heater,\n",
      "Nearest to has: had, have, is, was, since, calming, imminent, sweep,\n",
      "Nearest to known: used, ibiza, transwomen, supra, such, jewell, manually, conversational,\n",
      "Nearest to time: year, nazism, discernible, qassam, buckingham, way, explodes, course,\n",
      "Nearest to are: were, have, is, include, while, maas, other, noether,\n",
      "Nearest to american: british, english, canadian, autograph, french, jeux, australian, tramlink,\n",
      "Nearest to over: until, nikos, off, my, standalone, biconditional, curfew, suspend,\n",
      "Nearest to no: a, wonder, there, nick, langston, secaucus, compatibles, inferior,\n",
      "Nearest to had: has, have, was, were, having, is, aryans, aan,\n",
      "Nearest to as: by, bix, under, intracellular, yeomen, be, synoptic, unanimity,\n",
      "Nearest to nine: eight, seven, six, four, five, three, zero, two,\n",
      "Nearest to is: was, has, are, became, be, were, had, does,\n",
      "Average loss at step 32000: 3.506307\n",
      "Average loss at step 34000: 3.494333\n",
      "Average loss at step 36000: 3.450909\n",
      "Average loss at step 38000: 3.300008\n",
      "Average loss at step 40000: 3.429721\n",
      "Nearest to not: never, now, it, still, almost, usually, they, also,\n",
      "Nearest to of: in, intermarriages, for, biafra, hysteria, from, decrement, garage,\n",
      "Nearest to but: however, while, although, and, though, which, it, before,\n",
      "Nearest to war: disengage, federline, leyden, bangkok, valuables, shrunk, autographs, afghan,\n",
      "Nearest to its: their, his, the, her, balderus, registering, infanticide, cameras,\n",
      "Nearest to has: had, have, was, is, sweep, phenomenally, imminent, px,\n",
      "Nearest to known: used, such, ibiza, supra, transwomen, possible, conversational, described,\n",
      "Nearest to time: year, way, discernible, explodes, buckingham, terrier, maury, day,\n",
      "Nearest to are: were, have, is, maas, searle, while, be, can,\n",
      "Nearest to american: british, australian, french, english, canadian, italian, autograph, winning,\n",
      "Nearest to over: nikos, off, curfew, standalone, until, annan, my, sonar,\n",
      "Nearest to no: any, wonder, langston, secaucus, nick, hingis, liquified, regionally,\n",
      "Nearest to had: has, have, was, having, were, beans, since, aan,\n",
      "Nearest to as: intracellular, bluescreen, duchamp, chosroes, leclerc, dart, fortify, bix,\n",
      "Nearest to nine: eight, seven, six, five, four, zero, three, one,\n",
      "Nearest to is: was, are, has, be, does, mitigated, became, hustler,\n",
      "Average loss at step 42000: 3.434099\n",
      "Average loss at step 44000: 3.452721\n",
      "Average loss at step 46000: 3.451069\n",
      "Average loss at step 48000: 3.357493\n",
      "Average loss at step 50000: 3.383801\n",
      "Nearest to not: never, now, they, usually, still, almost, who, preferential,\n",
      "Nearest to of: in, and, preliminary, including, abusing, wilmot, during, stocking,\n",
      "Nearest to but: however, although, and, while, though, when, during, where,\n",
      "Nearest to war: disengage, bangkok, leyden, shrunk, federline, autographs, superlative, valuables,\n",
      "Nearest to its: their, his, the, her, balderus, infanticide, vuoksi, your,\n",
      "Nearest to has: had, have, is, was, ante, since, deems, watson,\n",
      "Nearest to known: used, such, possible, described, transwomen, regarded, supra, ibiza,\n",
      "Nearest to time: year, way, period, day, tarantino, lata, node, discernible,\n",
      "Nearest to are: were, is, have, these, bloomsbury, complication, be, include,\n",
      "Nearest to american: italian, australian, french, british, international, english, canadian, rsted,\n",
      "Nearest to over: off, nikos, through, rudder, curfew, annan, dtmf, on,\n",
      "Nearest to no: any, a, langston, rik, alison, regionally, nick, hingis,\n",
      "Nearest to had: has, have, were, was, having, since, been, prohibit,\n",
      "Nearest to as: authentication, stool, yeomen, shavuot, duchamp, eno, referendum, including,\n",
      "Nearest to nine: eight, seven, six, four, three, five, zero, two,\n",
      "Nearest to is: was, has, are, does, bloodstream, be, erlang, but,\n",
      "Average loss at step 52000: 3.435205\n",
      "Average loss at step 54000: 3.425108\n",
      "Average loss at step 56000: 3.441868\n",
      "Average loss at step 58000: 3.393682\n",
      "Average loss at step 60000: 3.394030\n",
      "Nearest to not: never, still, usually, now, you, they, almost, to,\n",
      "Nearest to of: for, in, rejuvenated, beggars, impeachment, intermarriages, original, discos,\n",
      "Nearest to but: however, although, and, though, see, determines, which, than,\n",
      "Nearest to war: bangkok, disengage, leyden, shrunk, latinized, autographs, agnesi, valuables,\n",
      "Nearest to its: their, his, the, her, your, vuoksi, gallico, rudy,\n",
      "Nearest to has: had, have, was, is, having, sweep, ante, gnaeus,\n",
      "Nearest to known: used, such, possible, transwomen, regarded, described, ibiza, supra,\n",
      "Nearest to time: year, way, period, tarantino, process, explodes, motivation, place,\n",
      "Nearest to are: were, is, have, searle, these, include, bloomsbury, those,\n",
      "Nearest to american: british, italian, australian, english, international, french, canadian, european,\n",
      "Nearest to over: through, until, off, dtmf, nikos, continuity, caudal, around,\n",
      "Nearest to no: any, regionally, langston, uniformitarianism, little, alison, horch, parallels,\n",
      "Nearest to had: has, have, was, having, were, thresholds, phenomenally, won,\n",
      "Nearest to as: bix, authentication, gaylord, contra, angel, flagella, meddling, fortify,\n",
      "Nearest to nine: eight, six, seven, four, five, three, zero, one,\n",
      "Nearest to is: was, are, has, does, became, be, contains, expect,\n",
      "Average loss at step 62000: 3.239307\n",
      "Average loss at step 64000: 3.256177\n",
      "Average loss at step 66000: 3.403254\n",
      "Average loss at step 68000: 3.388942\n",
      "Average loss at step 70000: 3.358393\n",
      "Nearest to not: never, now, still, usually, generally, almost, partially, sheedy,\n",
      "Nearest to of: including, preliminary, in, intermarriages, and, for, include, like,\n",
      "Nearest to but: however, although, see, which, and, that, than, though,\n",
      "Nearest to war: disengage, bangkok, leyden, wars, superlative, chalcedonian, autographs, agnesi,\n",
      "Nearest to its: their, his, the, her, our, whose, hypnotized, superoxide,\n",
      "Nearest to has: had, have, was, is, since, sweep, imminent, uppercase,\n",
      "Nearest to known: used, such, regarded, possible, described, transwomen, viewed, considered,\n",
      "Nearest to time: process, tarantino, period, year, place, way, course, encrypting,\n",
      "Nearest to are: were, have, include, is, these, including, maas, those,\n",
      "Nearest to american: british, italian, australian, canadian, english, international, dubs, rsted,\n",
      "Nearest to over: through, dtmf, off, around, about, until, curfew, continuity,\n",
      "Nearest to no: any, there, little, langston, regionally, parallels, liquified, wonder,\n",
      "Nearest to had: has, have, having, was, were, thresholds, phenomenally, won,\n",
      "Nearest to as: angel, like, bix, lyman, fortify, echelon, luminosity, before,\n",
      "Nearest to nine: eight, seven, six, five, four, three, zero, one,\n",
      "Nearest to is: was, has, are, became, be, does, being, becomes,\n",
      "Average loss at step 72000: 3.373208\n",
      "Average loss at step 74000: 3.345302\n",
      "Average loss at step 76000: 3.310933\n",
      "Average loss at step 78000: 3.349958\n",
      "Average loss at step 80000: 3.379658\n",
      "Nearest to not: still, never, usually, now, actually, they, almost, it,\n",
      "Nearest to of: in, commutator, including, original, collegium, sammy, avery, simplest,\n",
      "Nearest to but: however, although, see, while, and, which, than, though,\n",
      "Nearest to war: disengage, bangkok, discursive, wars, leyden, chalcedonian, nebuchadrezzar, privatisation,\n",
      "Nearest to its: their, his, her, the, our, heater, whose, your,\n",
      "Nearest to has: had, have, is, was, px, since, having, fineness,\n",
      "Nearest to known: used, possible, regarded, described, such, transwomen, considered, treated,\n",
      "Nearest to time: year, course, tarantino, cover, process, explodes, coffin, day,\n",
      "Nearest to are: were, include, is, have, maas, these, although, including,\n",
      "Nearest to american: british, italian, canadian, australian, calwell, international, ling, french,\n",
      "Nearest to over: off, around, caudal, through, until, dtmf, curfew, across,\n",
      "Nearest to no: little, reliefs, langston, any, regionally, liquified, nick, there,\n",
      "Nearest to had: has, have, were, was, having, phenomenally, prohibit, refused,\n",
      "Nearest to as: brainwashing, hereford, mentors, before, fortify, uranus, stool, yeomen,\n",
      "Nearest to nine: eight, seven, six, four, five, three, zero, one,\n",
      "Nearest to is: was, has, are, remains, became, includes, planing, although,\n",
      "Average loss at step 82000: 3.405994\n",
      "Average loss at step 84000: 3.407185\n",
      "Average loss at step 86000: 3.386949\n",
      "Average loss at step 88000: 3.352540\n",
      "Average loss at step 90000: 3.364312\n",
      "Nearest to not: still, actually, never, they, usually, almost, nor, now,\n",
      "Nearest to of: including, in, purdue, for, actual, preliminary, discos, simplest,\n",
      "Nearest to but: however, and, although, though, while, which, he, they,\n",
      "Nearest to war: disengage, bangkok, discursive, carefree, wars, chalcedonian, leyden, agnesi,\n",
      "Nearest to its: their, his, her, the, our, infanticide, heater, gallico,\n",
      "Nearest to has: had, have, is, was, since, additionally, having, maintains,\n",
      "Nearest to known: used, such, described, possible, regarded, transwomen, seen, considered,\n",
      "Nearest to time: tarantino, course, process, took, year, period, day, explodes,\n",
      "Nearest to are: were, is, include, have, these, maas, contain, although,\n",
      "Nearest to american: british, italian, australian, canadian, indian, french, spanish, regents,\n",
      "Nearest to over: off, through, around, against, dtmf, caudal, about, across,\n",
      "Nearest to no: little, any, reliefs, langston, only, liquified, there, inferior,\n",
      "Nearest to had: has, have, were, was, having, refused, already, continued,\n",
      "Nearest to as: brainwashing, stool, lombok, hereford, mentors, yeomen, chosroes, renormalization,\n",
      "Nearest to nine: eight, seven, six, five, four, three, zero, two,\n",
      "Nearest to is: was, has, are, does, became, be, although, becomes,\n",
      "Average loss at step 92000: 3.396994\n",
      "Average loss at step 94000: 3.249787\n",
      "Average loss at step 96000: 3.357772\n",
      "Average loss at step 98000: 3.245364\n",
      "Average loss at step 100000: 3.357103\n",
      "Nearest to not: never, still, almost, usually, nor, generally, sheedy, now,\n",
      "Nearest to of: including, in, original, and, ritz, blitter, from, grasso,\n",
      "Nearest to but: however, although, and, though, while, which, that, where,\n",
      "Nearest to war: disengage, bangkok, swamps, leyden, wars, chalcedonian, discursive, agnesi,\n",
      "Nearest to its: their, his, the, her, our, firms, infanticide, twiggy,\n",
      "Nearest to has: had, have, is, was, since, additionally, having, px,\n",
      "Nearest to known: possible, used, regarded, such, seen, described, considered, defined,\n",
      "Nearest to time: year, process, course, reason, tarantino, day, constantinople, replicates,\n",
      "Nearest to are: were, have, although, include, while, contain, these, is,\n",
      "Nearest to american: british, canadian, italian, australian, belgian, indian, doped, french,\n",
      "Nearest to over: caudal, across, around, nearly, through, off, costs, dtmf,\n",
      "Nearest to no: little, any, langston, reliefs, there, uniformitarianism, pieter, inferior,\n",
      "Nearest to had: has, have, having, was, were, won, thresholds, since,\n",
      "Nearest to as: like, brainwashing, chosroes, stool, hennessy, vl, within, hereford,\n",
      "Nearest to nine: eight, seven, six, four, five, three, zero, two,\n",
      "Nearest to is: was, has, became, becomes, appears, are, makes, be,\n"
     ]
    }
   ],
   "source": [
    "num_steps = 100001\n",
    "\n",
    "with tf.Session(graph=graph) as session:\n",
    "  tf.initialize_all_variables().run()\n",
    "  print('Initialized')\n",
    "  average_loss = 0\n",
    "  for step in range(num_steps):\n",
    "    batch_data, batch_labels = generate_batch(\n",
    "      batch_size, num_skips, skip_window)\n",
    "    feed_dict = {train_dataset : batch_data, train_labels : batch_labels}\n",
    "    _, l = session.run([optimizer, loss], feed_dict=feed_dict)\n",
    "    average_loss += l\n",
    "    if step % 2000 == 0:\n",
    "      if step > 0:\n",
    "        average_loss = average_loss / 2000\n",
    "      # The average loss is an estimate of the loss over the last 2000 batches.\n",
    "      print('Average loss at step %d: %f' % (step, average_loss))\n",
    "      average_loss = 0\n",
    "    # note that this is expensive (~20% slowdown if computed every 500 steps)\n",
    "    if step % 10000 == 0:\n",
    "      sim = similarity.eval()\n",
    "      for i in xrange(valid_size):\n",
    "        valid_word = reverse_dictionary[valid_examples[i]]\n",
    "        top_k = 8 # number of nearest neighbors\n",
    "        nearest = (-sim[i, :]).argsort()[1:top_k+1]\n",
    "        log = 'Nearest to %s:' % valid_word\n",
    "        for k in xrange(top_k):\n",
    "          close_word = reverse_dictionary[nearest[k]]\n",
    "          log = '%s %s,' % (log, close_word)\n",
    "        print(log)\n",
    "  final_embeddings = normalized_embeddings.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     }
    },
    "colab_type": "code",
    "collapsed": true,
    "id": "jjJXYA_XzV79"
   },
   "outputs": [],
   "source": [
    "num_points = 400\n",
    "\n",
    "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)\n",
    "two_d_embeddings = tsne.fit_transform(final_embeddings[1:num_points+1, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "cellView": "both",
    "colab": {
     "autoexec": {
      "startup": false,
      "wait_interval": 0
     },
     "output_extras": [
      {
       "item_id": 1
      }
     ]
    },
    "colab_type": "code",
    "collapsed": false,
    "executionInfo": {
     "elapsed": 4763,
     "status": "ok",
     "timestamp": 1445965465525,
     "user": {
      "color": "#1FA15D",
      "displayName": "Vincent Vanhoucke",
      "isAnonymous": false,
      "isMe": true,
      "permissionId": "05076109866853157986",
      "photoUrl": "//lh6.googleusercontent.com/-cCJa7dTDcgQ/AAAAAAAAAAI/AAAAAAAACgw/r2EZ_8oYer4/s50-c-k-no/photo.jpg",
      "sessionId": "2f1ffade4c9f20de",
      "userId": "102167687554210253930"
     },
     "user_tz": 420
    },
    "id": "o_e0D_UezcDe",
    "outputId": "df22e4a5-e8ec-4e5e-d384-c6cf37c68c34"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Ffv36sX37dvbs2cODDz5Ip06dOHDgAEePHsXDw4MFCxaYrTCuhNJVRUTKhtbIiUipy87O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\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5W0wbERMTAwC4ffs29u7dq9CyyKIvnjw5EidPjsTo0V4tvjLHugLWj7GxMRISEpCTkwMV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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f28bd3e3150>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "def plot(embeddings, labels):\n",
    "  assert embeddings.shape[0] >= len(labels), 'More labels than embeddings'\n",
    "  pylab.figure(figsize=(15,15))  # in inches\n",
    "  for i, label in enumerate(labels):\n",
    "    x, y = embeddings[i,:]\n",
    "    pylab.scatter(x, y)\n",
    "    pylab.annotate(label, xy=(x, y), xytext=(5, 2), textcoords='offset points',\n",
    "                   ha='right', va='bottom')\n",
    "  pylab.show()\n",
    "\n",
    "words = [reverse_dictionary[i] for i in range(1, num_points+1)]\n",
    "plot(two_d_embeddings, words)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "QB5EFrBnpNnc"
   },
   "source": [
    "---\n",
    "\n",
    "Problem\n",
    "-------\n",
    "\n",
    "An alternative to Word2Vec is called [CBOW](http://arxiv.org/abs/1301.3781) (Continuous Bag of Words). In the CBOW model, instead of predicting a context word from a word vector, you predict a word from the sum of all the word vectors in its context. Implement and evaluate a CBOW model trained on the text8 dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The main difference between skip-gram and CBOW is the inputs and outputs are reversed - skip-gram predicts the context given the word, while CBOW predicts the word given the context.  The second difference is that unlike skip-gram where each context word is a separate, label, in CBOW the context words are summed together in the input vector (so instead of having a single bit \"activated\" we'll have 2 or more bits turned on).  This [blog post](https://iksinc.wordpress.com/tag/continuous-bag-of-words-cbow/) explains it pretty well, although the exact implementation used here isn't as complicated as the one suggested in the post.\n",
    "\n",
    "The code is very similar to skip-gram, with the exception of the batch generation function.\n",
    "\n",
    "Full disclousure: these code updates came from other course participants through discussions about the assignment.  There are multiple ways to implement this so there is no single right answer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data_index = 0\n",
    "\n",
    "def generate_batch_cbow(batch_size, skip_window):\n",
    "  global data_index\n",
    "  context_window = 2 * skip_window\n",
    "  assert batch_size % context_window == 0\n",
    "  num_labels = batch_size / context_window\n",
    "  batch = np.ndarray(shape=(batch_size), dtype=np.int32)\n",
    "  labels = np.ndarray(shape=(num_labels, 1), dtype=np.int32)\n",
    "  span = 2 * skip_window + 1 # [ skip_window target skip_window ]\n",
    "  buffer = collections.deque(maxlen=span)\n",
    "  for _ in range(span):\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "  for i in range(num_labels):\n",
    "    target = skip_window  # target label at the center of the buffer\n",
    "    labels[i, 0] = buffer[target]\n",
    "    targets_to_avoid = [ skip_window ]\n",
    "    for j in range(context_window):\n",
    "      while target in targets_to_avoid:\n",
    "        target = random.randint(0, span - 1)\n",
    "      targets_to_avoid.append(target)\n",
    "      batch[i * context_window + j] = buffer[target]\n",
    "    buffer.append(data[data_index])\n",
    "    data_index = (data_index + 1) % len(data)\n",
    "  return batch, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "batch_size = 128\n",
    "embedding_size = 128 # Dimension of the embedding vector.\n",
    "skip_window = 1 # How many words to consider left and right.\n",
    "context_window = 2 * skip_window\n",
    "num_labels = batch_size / context_window\n",
    "# num_skips = 2 # How many times to reuse an input to generate a label.\n",
    "# We pick a random validation set to sample nearest neighbors. here we limit the\n",
    "# validation samples to the words that have a low numeric ID, which by\n",
    "# construction are also the most frequent. \n",
    "valid_size = 16 # Random set of words to evaluate similarity on.\n",
    "valid_window = 100 # Only pick dev samples in the head of the distribution.\n",
    "valid_examples = np.array(random.sample(range(valid_window), valid_size))\n",
    "num_sampled = 32 # Number of negative examples to sample.\n",
    "\n",
    "graph = tf.Graph()\n",
    "\n",
    "with graph.as_default(), tf.device('/cpu:0'):\n",
    "\n",
    "  # Input data.\n",
    "  train_dataset = tf.placeholder(tf.int32, shape=[batch_size])\n",
    "  train_labels = tf.placeholder(tf.int32, shape=[num_labels, 1])\n",
    "  valid_dataset = tf.constant(valid_examples, dtype=tf.int32)\n",
    "  \n",
    "  # Variables.\n",
    "  embeddings = tf.Variable(\n",
    "    tf.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0))\n",
    "  softmax_weights = tf.Variable(\n",
    "    tf.truncated_normal([vocabulary_size, embedding_size],\n",
    "                         stddev=1.0 / math.sqrt(embedding_size)))\n",
    "  softmax_biases = tf.Variable(tf.zeros([vocabulary_size]))\n",
    "  \n",
    "  # Model.\n",
    "  # Look up embeddings for inputs.\n",
    "  embed = tf.nn.embedding_lookup(embeddings, train_dataset)\n",
    "\n",
    "  # Create a mask to apply to the embed tensor to essentially \"sum\" the context words\n",
    "  seq_ids = np.zeros(batch_size, dtype=np.int32)\n",
    "  cur_id = -1\n",
    "  for i in range(batch_size):\n",
    "    if i % context_window == 0:\n",
    "      cur_id = cur_id + 1\n",
    "    seq_ids[i] = cur_id\n",
    "  \n",
    "  # Use segment_sum to add together the related words and reduce the output to be num_labels in size.\n",
    "  embed_sum = tf.segment_sum(embed, seq_ids)\n",
    "  \n",
    "  # Compute the softmax loss, using a sample of the negative labels each time.\n",
    "  loss = tf.reduce_mean(\n",
    "    tf.nn.sampled_softmax_loss(softmax_weights, softmax_biases, embed_sum,\n",
    "                               train_labels, num_sampled, vocabulary_size))\n",
    "\n",
    "  # Optimizer.\n",
    "  optimizer = tf.train.AdagradOptimizer(1.0).minimize(loss)\n",
    "  \n",
    "  # Compute the similarity between minibatch examples and all embeddings.\n",
    "  # We use the cosine distance:\n",
    "  norm = tf.sqrt(tf.reduce_sum(tf.square(embeddings), 1, keep_dims=True))\n",
    "  normalized_embeddings = embeddings / norm\n",
    "  valid_embeddings = tf.nn.embedding_lookup(\n",
    "    normalized_embeddings, valid_dataset)\n",
    "  similarity = tf.matmul(valid_embeddings, tf.transpose(normalized_embeddings))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialized\n",
      "Average loss at step 0: 7.065996\n",
      "Nearest to UNK: browsers, rotary, graded, poisonous, police, funchal, corn, freeciv,\n",
      "Nearest to war: reconciled, glasnost, satan, affections, barbaric, separatist, yardbirds, enact,\n",
      "Nearest to seven: bonnie, marriage, originated, brahma, consuls, justifies, usher, reshaped,\n",
      "Nearest to united: alarms, excommunication, pic, laramie, mcgregor, grampus, responses, fgth,\n",
      "Nearest to when: benito, illustrated, hydroponics, metamorphic, intriguing, melanesian, drugs, prohibitively,\n",
      "Nearest to were: restoring, feel, relate, busch, king, cree, hedgehog, discriminated,\n",
      "Nearest to had: handlebar, ech, chop, reporter, ridley, vast, improper, officiated,\n",
      "Nearest to he: wardrobe, ing, functionalism, authoritarian, bio, humours, experimenting, olaf,\n",
      "Nearest to during: trauma, ipa, hangul, greenhouses, schumpeter, specials, chat, infallibility,\n",
      "Nearest to known: algebras, vladislav, sayyaf, medes, untrained, mimi, act, ed,\n",
      "Nearest to into: forgo, pus, discord, abstractly, proliferate, infrastructural, plenty, crucible,\n",
      "Nearest to all: nio, boac, unchecked, contrasts, jersey, overs, isao, stipulations,\n",
      "Nearest to there: counterattack, reactance, shortening, marginal, polytheism, scientologists, saito, lamo,\n",
      "Nearest to than: stellar, utah, precaution, jujutsu, chogm, boolean, earnestly, excision,\n",
      "Nearest to five: stagnation, duke, haran, folksong, llu, stabilizes, behaviorism, stamps,\n",
      "Nearest to be: departments, resorted, cdu, slovakian, scotty, reconsider, conscript, biconditional,\n",
      "Average loss at step 2000: 3.689275\n",
      "Average loss at step 4000: 3.127331\n",
      "Average loss at step 6000: 3.030139\n",
      "Average loss at step 8000: 2.877302\n",
      "Average loss at step 10000: 2.793477\n",
      "Nearest to UNK: frosts, foul, disregarding, coupled, gaborone, straightforwardly, fluctuations, insertions,\n",
      "Nearest to war: paucity, verisign, reconciled, separatist, ear, decomposing, lufthansa, cm,\n",
      "Nearest to seven: eight, six, nine, three, five, four, zero, two,\n",
      "Nearest to united: ziegler, pic, grampus, responses, powerbook, purdue, kyushu, diner,\n",
      "Nearest to when: after, viability, hydroponics, where, airlines, samara, took, rigs,\n",
      "Nearest to were: are, have, but, had, was, kingdoms, ard, matrimonial,\n",
      "Nearest to had: has, have, were, sqrat, was, aurelianus, stalker, ballads,\n",
      "Nearest to he: she, it, they, there, who, dimitri, tama, troika,\n",
      "Nearest to during: greenhouses, voter, under, arius, ipa, trauma, fen, bz,\n",
      "Nearest to known: well, sayyaf, yardage, absolutive, used, vladislav, such, snoopy,\n",
      "Nearest to into: with, flirt, out, gave, giulio, rowdy, almeida, from,\n",
      "Nearest to all: many, howlin, institute, impending, meteorites, sketch, postumus, reagent,\n",
      "Nearest to there: it, they, he, despised, invisibly, covertly, bebox, oregano,\n",
      "Nearest to than: chogm, gliders, fptp, spontaneously, detonates, utah, jahan, procure,\n",
      "Nearest to five: eight, six, nine, three, seven, four, zero, two,\n",
      "Nearest to be: have, is, magnesians, uncut, protestors, become, arnauld, been,\n",
      "Average loss at step 12000: 2.766466\n",
      "Average loss at step 14000: 2.730358\n",
      "Average loss at step 16000: 2.534443\n",
      "Average loss at step 18000: 2.566399\n",
      "Average loss at step 20000: 2.654789\n",
      "Nearest to UNK: aldosterone, parole, vista, brilliance, bissette, divine, monopoles, facet,\n",
      "Nearest to war: decomposing, reconciled, paucity, airplay, lufthansa, gunnery, hello, sunday,\n",
      "Nearest to seven: eight, four, six, zero, nine, five, three, two,\n",
      "Nearest to united: ziegler, grampus, city, powerbook, pic, responses, please, dactylic,\n",
      "Nearest to when: if, hydroponics, because, where, denies, archtop, diamagnets, during,\n",
      "Nearest to were: are, was, have, had, tripod, canetti, dagesh, hobby,\n",
      "Nearest to had: has, have, was, having, waking, were, impatient, unsuitable,\n",
      "Nearest to he: she, it, they, there, who, then, rue, never,\n",
      "Nearest to during: under, on, greenhouses, in, with, at, breeze, sothoth,\n",
      "Nearest to known: used, such, well, considered, defined, understood, regarded, described,\n",
      "Nearest to into: through, from, rowdy, picks, under, in, disordered, within,\n",
      "Nearest to all: these, many, several, omnivores, ethically, panspermia, seizing, suggest,\n",
      "Nearest to there: they, it, he, usually, which, still, misguided, melatonin,\n",
      "Nearest to than: or, chogm, utah, detonates, mond, hearts, acknowledgment, mao,\n",
      "Nearest to five: zero, six, seven, eight, four, three, two, nine,\n",
      "Nearest to be: been, have, produce, refer, become, magnesians, uncut, being,\n",
      "Average loss at step 22000: 2.619580\n",
      "Average loss at step 24000: 2.585866\n",
      "Average loss at step 26000: 2.560046\n",
      "Average loss at step 28000: 2.563704\n",
      "Average loss at step 30000: 2.587996\n",
      "Nearest to UNK: adventure, colonists, h, paralleling, vit, caricatured, kerosene, kurdistan,\n",
      "Nearest to war: decomposing, sirach, jomo, edu, synchronize, martyrdom, sunday, spray,\n",
      "Nearest to seven: nine, eight, five, six, four, three, zero, two,\n",
      "Nearest to united: grampus, city, ziegler, georgian, rimet, gettier, powerbook, responses,\n",
      "Nearest to when: if, where, after, repetitions, before, from, since, however,\n",
      "Nearest to were: are, was, have, had, being, been, is, hostel,\n",
      "Nearest to had: have, has, was, having, since, were, demography, halts,\n",
      "Nearest to he: she, they, it, who, there, inkjet, lifespans, never,\n",
      "Nearest to during: after, in, throughout, before, until, through, from, at,\n",
      "Nearest to known: used, described, understood, well, defined, considered, regarded, available,\n",
      "Nearest to into: from, within, under, through, with, on, rowdy, around,\n",
      "Nearest to all: several, meteorites, any, various, many, taxing, civilized, almohades,\n",
      "Nearest to there: they, usually, he, it, still, often, tambo, she,\n",
      "Nearest to than: chogm, much, becoming, far, utah, algebraically, dada, reconsidered,\n",
      "Nearest to five: eight, seven, six, nine, four, zero, three, two,\n",
      "Nearest to be: refer, produce, have, xy, forster, become, say, were,\n",
      "Average loss at step 32000: 2.578251\n",
      "Average loss at step 34000: 2.536099\n",
      "Average loss at step 36000: 2.510159\n",
      "Average loss at step 38000: 2.320349\n",
      "Average loss at step 40000: 2.483141\n",
      "Nearest to UNK: b, dutton, brian, hinged, d, mazar, abhorrent, cfaf,\n",
      "Nearest to war: decomposing, paternity, leblanc, synchronize, spray, decree, egypt, muhammad,\n",
      "Nearest to seven: nine, eight, five, six, three, four, two, zero,\n",
      "Nearest to united: grampus, pic, georgian, city, toluene, avtovaz, powerbook, trigonometric,\n",
      "Nearest to when: while, after, if, before, by, denies, cruz, until,\n",
      "Nearest to were: are, was, have, been, being, brimstone, those, exe,\n",
      "Nearest to had: has, have, having, was, demography, impatient, shrugged, became,\n",
      "Nearest to he: she, it, they, soon, subsequently, eventually, there, who,\n",
      "Nearest to during: at, in, within, throughout, through, before, between, on,\n",
      "Nearest to known: used, understood, considered, described, defined, such, regarded, available,\n",
      "Nearest to into: through, from, around, back, picks, away, emission, painless,\n",
      "Nearest to all: both, any, every, two, drayton, dol, argentinian, each,\n",
      "Nearest to there: it, they, still, usually, she, which, he, now,\n",
      "Nearest to than: chogm, or, tenses, hairless, shareware, volunteering, consecrate, becoming,\n",
      "Nearest to five: seven, six, four, eight, nine, two, three, zero,\n",
      "Nearest to be: produce, have, refer, become, been, are, is, steal,\n",
      "Average loss at step 42000: 2.491943\n",
      "Average loss at step 44000: 2.495752\n",
      "Average loss at step 46000: 2.491358\n",
      "Average loss at step 48000: 2.388357\n",
      "Average loss at step 50000: 2.403683\n",
      "Nearest to UNK: braille, ma, kryptonians, berry, mauritius, mennonites, iy, h,\n",
      "Nearest to war: conflict, wars, computations, decomposing, synchronize, muhammad, leblanc, commodity,\n",
      "Nearest to seven: eight, six, nine, three, four, five, two, zero,\n",
      "Nearest to united: pic, past, georgian, rimet, grampus, ny, gettier, ziegler,\n",
      "Nearest to when: before, if, after, while, though, where, however, foreman,\n",
      "Nearest to were: are, was, have, is, had, hostel, modernists, ocular,\n",
      "Nearest to had: has, have, having, was, wanted, were, impatient, explains,\n",
      "Nearest to he: she, it, they, who, there, then, soon, eventually,\n",
      "Nearest to during: in, throughout, within, after, from, through, nilpotent, at,\n",
      "Nearest to known: used, understood, defined, described, available, regarded, considered, famous,\n",
      "Nearest to into: from, through, around, across, under, within, toward, away,\n",
      "Nearest to all: every, meteorites, some, taxing, howlin, civilized, ovid, panspermia,\n",
      "Nearest to there: they, it, he, she, still, incomes, now, jabal,\n",
      "Nearest to than: reconsidered, chogm, or, but, even, spontaneously, tenses, far,\n",
      "Nearest to five: four, six, eight, seven, three, nine, zero, two,\n",
      "Nearest to be: have, refer, become, produce, being, easily, been, officiate,\n",
      "Average loss at step 52000: 2.451219\n",
      "Average loss at step 54000: 2.423089\n",
      "Average loss at step 56000: 2.458059\n",
      "Average loss at step 58000: 2.389679\n",
      "Average loss at step 60000: 2.408637\n",
      "Nearest to UNK: haas, slammed, domingue, singularly, pfa, fatimid, seabed, relegated,\n",
      "Nearest to war: conflict, muhammad, wars, elizabeth, leblanc, impacts, decomposing, am,\n",
      "Nearest to seven: five, six, eight, four, nine, three, zero, two,\n",
      "Nearest to united: following, past, rimet, pic, baltic, grampus, mutation, hawaii,\n",
      "Nearest to when: if, before, although, while, after, during, by, though,\n",
      "Nearest to were: are, was, had, have, be, been, including, romanticism,\n",
      "Nearest to had: has, have, was, yet, already, were, gave, never,\n",
      "Nearest to he: she, it, they, who, eventually, there, soon, never,\n",
      "Nearest to during: in, before, after, within, when, under, although, following,\n",
      "Nearest to known: used, defined, regarded, understood, considered, described, referred, famous,\n",
      "Nearest to into: around, through, from, under, with, disordered, on, within,\n",
      "Nearest to all: some, those, manpower, any, reset, every, many, both,\n",
      "Nearest to there: they, it, he, this, still, sometimes, verbose, we,\n",
      "Nearest to than: chogm, agena, far, tenses, utah, slightly, algebraically, acknowledgment,\n",
      "Nearest to five: four, seven, three, six, eight, nine, zero, two,\n",
      "Nearest to be: been, produce, remain, refer, were, become, easily, have,\n",
      "Average loss at step 62000: 2.205583\n",
      "Average loss at step 64000: 2.229476\n",
      "Average loss at step 66000: 2.384556\n",
      "Average loss at step 68000: 2.391171\n",
      "Average loss at step 70000: 2.338602\n",
      "Nearest to UNK: aussie, superconductor, lemnos, servitude, duo, ller, hemiparesis, zapata,\n",
      "Nearest to war: wars, conflict, elizabeth, leblanc, series, coup, hacienda, commodity,\n",
      "Nearest to seven: eight, six, nine, five, four, zero, three, two,\n",
      "Nearest to united: nation, pic, past, baltic, purdue, goguryeo, west, toluene,\n",
      "Nearest to when: if, where, before, however, after, rgb, californians, because,\n",
      "Nearest to were: are, have, was, had, is, be, been, cusco,\n",
      "Nearest to had: has, have, was, having, were, already, subsequently, saw,\n",
      "Nearest to he: she, they, it, soon, there, we, hitler, who,\n",
      "Nearest to during: before, until, throughout, after, in, at, under, despite,\n",
      "Nearest to known: used, defined, understood, regarded, described, such, considered, famous,\n",
      "Nearest to into: from, through, around, across, upside, back, within, away,\n",
      "Nearest to all: some, various, every, both, many, panspermia, any, pharmacist,\n",
      "Nearest to there: it, they, still, she, we, he, sometimes, often,\n",
      "Nearest to than: becoming, dualities, but, detail, or, volunteering, chogm, fiorentina,\n",
      "Nearest to five: four, seven, eight, six, nine, three, zero, two,\n",
      "Nearest to be: been, become, produce, is, have, easily, provide, were,\n",
      "Average loss at step 72000: 2.365039\n",
      "Average loss at step 74000: 2.334780\n",
      "Average loss at step 76000: 2.327395\n",
      "Average loss at step 78000: 2.343068\n",
      "Average loss at step 80000: 2.355344\n",
      "Nearest to UNK: willfully, vulpes, parole, astronomer, manuel, riley, ross, zacharias,\n",
      "Nearest to war: wars, conflict, leblanc, coup, pandit, elizabeth, commodity, rias,\n",
      "Nearest to seven: five, six, eight, zero, four, nine, three, two,\n",
      "Nearest to united: nation, pic, purdue, expressionism, median, baltic, toluene, newsreel,\n",
      "Nearest to when: after, before, where, if, until, for, without, then,\n",
      "Nearest to were: are, have, had, cusco, was, including, modernists, include,\n",
      "Nearest to had: has, have, was, already, were, having, never, are,\n",
      "Nearest to he: she, it, they, there, we, originally, never, hitler,\n",
      "Nearest to during: after, throughout, before, until, from, in, through, despite,\n",
      "Nearest to known: defined, used, understood, described, regarded, such, cited, referred,\n",
      "Nearest to into: through, around, within, from, along, across, away, with,\n",
      "Nearest to all: every, banishment, taxing, various, both, many, out, civilized,\n",
      "Nearest to there: it, he, they, she, sometimes, we, said, strikers,\n",
      "Nearest to than: but, chogm, much, dualities, fiorentina, becoming, agena, while,\n",
      "Nearest to five: four, seven, eight, six, three, nine, zero, two,\n",
      "Nearest to be: been, become, easily, being, remain, refer, seem, produce,\n",
      "Average loss at step 82000: 2.377959\n",
      "Average loss at step 84000: 2.393377\n",
      "Average loss at step 86000: 2.356136\n",
      "Average loss at step 88000: 2.312366\n",
      "Average loss at step 90000: 2.316218\n",
      "Nearest to UNK: ting, plummeted, johan, battista, parole, haas, clancy, konrad,\n",
      "Nearest to war: wars, conflict, coup, elizabeth, muhammad, apparatus, commodity, sliders,\n",
      "Nearest to seven: nine, eight, five, four, six, zero, three, two,\n",
      "Nearest to united: baltic, confederate, nation, pic, papal, usa, purdue, southern,\n",
      "Nearest to when: after, before, while, until, if, without, by, although,\n",
      "Nearest to were: are, was, had, have, being, while, been, canetti,\n",
      "Nearest to had: has, have, was, were, began, continued, already, having,\n",
      "Nearest to he: she, they, it, there, subsequently, originally, initially, who,\n",
      "Nearest to during: throughout, before, in, until, after, despite, while, from,\n",
      "Nearest to known: described, defined, used, understood, regarded, such, seen, opposed,\n",
      "Nearest to into: through, around, within, across, from, beyond, under, upside,\n",
      "Nearest to all: many, several, some, various, every, aware, any, regardless,\n",
      "Nearest to there: it, they, he, still, we, she, not, keeshond,\n",
      "Nearest to than: chogm, much, algebraically, detail, fiorentina, becoming, far, spacetime,\n",
      "Nearest to five: eight, four, seven, six, nine, three, two, zero,\n",
      "Nearest to be: easily, have, is, provide, was, remain, produce, been,\n",
      "Average loss at step 92000: 2.363738\n",
      "Average loss at step 94000: 2.205631\n",
      "Average loss at step 96000: 2.325339\n",
      "Average loss at step 98000: 2.205846\n",
      "Average loss at step 100000: 2.315003\n",
      "Nearest to UNK: extraneous, ller, tsu, nocs, hallstatt, reggie, formalize, christiansen,\n",
      "Nearest to war: wars, conflict, leblanc, coup, decomposing, muhammad, season, trade,\n",
      "Nearest to seven: nine, eight, four, five, six, zero, three, two,\n",
      "Nearest to united: baltic, confederate, pic, nation, newsreel, city, southern, georgian,\n",
      "Nearest to when: if, while, after, although, before, though, where, because,\n",
      "Nearest to were: are, have, brimstone, exist, those, had, modernists, cusco,\n",
      "Nearest to had: has, have, having, already, refused, was, demography, enjoys,\n",
      "Nearest to he: she, they, it, there, who, we, initially, eventually,\n",
      "Nearest to during: throughout, in, despite, through, within, at, until, among,\n",
      "Nearest to known: defined, described, understood, such, used, possible, opposed, referred,\n",
      "Nearest to into: through, within, from, around, across, beyond, back, upside,\n",
      "Nearest to all: various, these, every, both, some, several, many, any,\n",
      "Nearest to there: they, he, she, still, it, believed, however, we,\n",
      "Nearest to than: chogm, or, much, acknowledgment, fanfic, mauss, bskyb, bakersfield,\n",
      "Nearest to five: six, seven, eight, four, nine, zero, two, three,\n",
      "Nearest to be: have, been, produce, lead, remain, easily, refer, become,\n"
     ]
    }
   ],
   "source": [
    "num_steps = 100001\n",
    "\n",
    "with tf.Session(graph=graph) as session:\n",
    "  tf.initialize_all_variables().run()\n",
    "  print('Initialized')\n",
    "  average_loss = 0\n",
    "  for step in range(num_steps):\n",
    "    batch_data, batch_labels = generate_batch_cbow(batch_size, skip_window)\n",
    "    feed_dict = {train_dataset : batch_data, train_labels : batch_labels}\n",
    "    _, l = session.run([optimizer, loss], feed_dict=feed_dict)\n",
    "    average_loss += l\n",
    "    if step % 2000 == 0:\n",
    "      if step > 0:\n",
    "        average_loss = average_loss / 2000\n",
    "      # The average loss is an estimate of the loss over the last 2000 batches.\n",
    "      print('Average loss at step %d: %f' % (step, average_loss))\n",
    "      average_loss = 0\n",
    "    # note that this is expensive (~20% slowdown if computed every 500 steps)\n",
    "    if step % 10000 == 0:\n",
    "      sim = similarity.eval()\n",
    "      for i in xrange(valid_size):\n",
    "        valid_word = reverse_dictionary[valid_examples[i]]\n",
    "        top_k = 8 # number of nearest neighbors\n",
    "        nearest = (-sim[i, :]).argsort()[1:top_k+1]\n",
    "        log = 'Nearest to %s:' % valid_word\n",
    "        for k in xrange(top_k):\n",
    "          close_word = reverse_dictionary[nearest[k]]\n",
    "          log = '%s %s,' % (log, close_word)\n",
    "        print(log)\n",
    "  final_embeddings = normalized_embeddings.eval()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "num_points = 400\n",
    "\n",
    "tsne = TSNE(perplexity=30, n_components=2, init='pca', n_iter=5000)\n",
    "two_d_embeddings = tsne.fit_transform(final_embeddings[1:num_points+1, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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2PDk52fa6fv36zJ8/n6eeeoqUlJRSvpLii4uLIyoqiipVqlC1alU6derE2rVrAS647vNt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\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dA0wVlfueOzWeK+sFfAf0//v9YmBAsXUfA33K2O+ezPNUVO53vv32WwkKChIRkV9++UXM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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f28b9f80290>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "def plot(embeddings, labels):\n",
    "  assert embeddings.shape[0] >= len(labels), 'More labels than embeddings'\n",
    "  pylab.figure(figsize=(15,15))  # in inches\n",
    "  for i, label in enumerate(labels):\n",
    "    x, y = embeddings[i,:]\n",
    "    pylab.scatter(x, y)\n",
    "    pylab.annotate(label, xy=(x, y), xytext=(5, 2), textcoords='offset points',\n",
    "                   ha='right', va='bottom')\n",
    "  pylab.show()\n",
    "\n",
    "words = [reverse_dictionary[i] for i in range(1, num_points+1)]\n",
    "plot(two_d_embeddings, words)"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "default_view": {},
   "name": "5_word2vec.ipynb",
   "provenance": [],
   "version": "0.3.2",
   "views": {}
  },
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}