{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 簡易実装CBOWによる密ベクトルの学習例\n",
    "## 前提\n",
    "- [ゼロから作るDeep Learning ❷ ―自然言語処理編](https://github.com/oreilly-japan/deep-learning-from-scratch-2/)のクローンを用意。\n",
    "- ch03に移動し、そこで作業。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vocab[:5] ['むかし', '、', 'ある', 'ところ', 'に']\n",
      "len(vocab) 551\n"
     ]
    }
   ],
   "source": [
    "import collections, os, pickle\n",
    "import nltk, MeCab\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# データの準備\n",
    "filename = \"./corpus/momotaro.txt\"\n",
    "with open(filename, \"r\") as fh:\n",
    "    sentences = \"\"\n",
    "    for line in fh.readlines():\n",
    "        sentences += line + \" \"\n",
    "\n",
    "def tokenize(sentences):\n",
    "    \"\"\"文章を分かち書きするとともに、ボキャブラリも返す。\n",
    "\n",
    "    :param sentences(str): 複数の文章を含む文字列。日本語想定。\n",
    "    :return(list):\n",
    "      tokens(list): 分かち書きした単語をlistとしてまとめたもの。\n",
    "      vocab(list): ボキャブラリ。ユニークな単語一覧。\n",
    "    \"\"\"\n",
    "\n",
    "    # 「。」、「！」、「？」で終わる一連の文字列を文として認識し分割する。\n",
    "    jp_sent_tokenizer = nltk.RegexpTokenizer(u'[^　「」！？。]*[！？。]')\n",
    "    tagger = MeCab.Tagger('-Owakati -d /usr/local/lib/mecab/dic/mecab-ipadic-neologd')\n",
    "\n",
    "    sents = jp_sent_tokenizer.tokenize(sentences)\n",
    "    tokens = []\n",
    "    vocab = []\n",
    "    for sent in sents:\n",
    "        node = tagger.parseToNode(sent)\n",
    "        while node:\n",
    "            features = node.feature.split(\",\")\n",
    "            base_word = features[6]\n",
    "            if base_word == \"*\" or base_word == \" \" or base_word == \"\\n\":\n",
    "                node = node.next\n",
    "                continue\n",
    "            tokens.append(base_word)\n",
    "            if base_word not in vocab:\n",
    "                vocab.append(base_word)\n",
    "            node = node.next\n",
    "    return tokens, vocab\n",
    "\n",
    "# 文章からボキャブラリと分かち書きを用意。\n",
    "filename = \"./corpus/momotaro.txt\"\n",
    "with open(filename, \"r\") as fh:\n",
    "    sentences = \"\"\n",
    "    for line in fh.readlines():\n",
    "        sentences += line + \" \"\n",
    "wakati_sentences, vocab = tokenize(sentences)\n",
    "\n",
    "print(\"vocab[:5]\", vocab[:5])\n",
    "print(\"len(vocab)\", len(vocab))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "178\n",
      "桃太郎\n"
     ]
    }
   ],
   "source": [
    "# ボキャブラリと分かち書き文章から、データセットを作成。\n",
    "word_to_id = dict((c,i) for i,c in enumerate(vocab))\n",
    "id_to_word = dict((i,c) for i,c in enumerate(vocab))\n",
    "print(word_to_id[\"桃太郎\"])\n",
    "print(id_to_word[178])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1, 0, 1, 2]\n",
      "むかし 、 むかし 、 ある\n"
     ]
    }
   ],
   "source": [
    "# 分かち書き文章を単語IDで表現\n",
    "wakati_ids = []\n",
    "for word in wakati_sentences:\n",
    "    wakati_ids.append(word_to_id[word])\n",
    "\n",
    "print(wakati_ids[:5])\n",
    "print(id_to_word[0], id_to_word[1], id_to_word[0], id_to_word[1], id_to_word[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0\n",
      " 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]\n"
     ]
    }
   ],
   "source": [
    "#https://github.com/oreilly-japan/deep-learning-from-scratch-2/blob/master/ch03/train.py\n",
    "#ここから CBOW 準備\n",
    "\n",
    "import sys\n",
    "sys.path.append('..')  # 親ディレクトリのファイルをインポートするための設定\n",
    "from common.trainer import Trainer\n",
    "from common.optimizer import Adam\n",
    "from simple_cbow import SimpleCBOW\n",
    "from common.util import preprocess, create_contexts_target, convert_one_hot, cos_similarity\n",
    "\n",
    "window_size = 5\n",
    "hidden_size = 20 # 密ベクトルのサイズ\n",
    "batch_size = 100 # 一度に処理するサンプル数\n",
    "max_epoch = 1000 # 重み更新回数（学習回数）\n",
    "\n",
    "# データセットの準備\n",
    "vocab_size = len(vocab)\n",
    "\n",
    "# ウィンドウサイズで指定された文脈と、その文脈下における対象語を収集\n",
    "contexts, target = create_contexts_target(wakati_ids, window_size)\n",
    "target = convert_one_hot(target, vocab_size)\n",
    "contexts = convert_one_hot(contexts, vocab_size)\n",
    "\n",
    "print(target[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# モデルの準備\n",
    "model = SimpleCBOW(vocab_size, hidden_size)\n",
    "optimizer = Adam()\n",
    "trainer = Trainer(model, optimizer)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "use pretrained file (word2vec_momotaro_model.pkl)? [y/n]\n",
      "y\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 学習。必要に応じて学習済みファイルから読み込み。\n",
    "model_filename = \"word2vec_momotaro_model.pkl\"\n",
    "trainer_filename = \"word2vec_momotaro_trainer.pkl\"\n",
    "answer = \"n\"\n",
    "if os.path.exists(filename):\n",
    "    print(\"use pretrained file ({})? [y/n]\".format(model_filename))\n",
    "    answer = input()\n",
    "if answer == \"n\":\n",
    "    trainer.fit(contexts, target, max_epoch, batch_size)\n",
    "    trainer.plot()\n",
    "    pickle.dump(model, open(model_filename, 'wb'))\n",
    "    pickle.dump(trainer, open(trainer_filename, 'wb'))\n",
    "elif answer == \"y\":\n",
    "    model = pickle.load(open(model_filename, 'rb'))\n",
    "    trainer = pickle.load(open(trainer_filename, 'rb'))\n",
    "    trainer.plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 学習した密ベクトルを利用しやすいように整形\n",
    "embeddings = model.word_vecs\n",
    "word_to_vec = dict()\n",
    "for index, word in enumerate(vocab):\n",
    "    vec = embeddings[index]\n",
    "    word_to_vec[word] = vec\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "closest(桃太郎)\n",
      "['桃太郎', 'こうして', 'ます', 'まいにち', 'ば', 'へ', '元気', 'ら', 'やる', '下さる']\n",
      "1.0 桃太郎 桃太郎\n",
      "0.63193345 桃太郎 こうして\n",
      "0.6279346 桃太郎 ます\n",
      "----\n",
      "closest(おじいさん)\n",
      "['おじいさん', '下りる', '気だて', '中', '早い', 'がた', 'うらら', '近所', 'みる', 'ちがい']\n",
      "1.0000001 おじいさん おじいさん\n",
      "0.56877404 おじいさん 下りる\n",
      "0.55369145 おじいさん 気だて\n",
      "----\n",
      "closest(猿)\n",
      "['猿', 'す', '向こう', 'ある', 'ずんずん', 'こそ', 'がる', '陸', 'え', '大きな']\n",
      "0.99999994 猿 猿\n",
      "0.7311974 猿 す\n",
      "0.5919237 猿 向こう\n",
      "----\n",
      "closest(鬼)\n",
      "['鬼', '犬', 'さんざん', 'そんな', 'おいで', '泣く', 'その', '押さえる', '見える', '稲妻']\n",
      "1.0 鬼 鬼\n",
      "0.65054655 鬼 犬\n",
      "0.6279972 鬼 さんざん\n",
      "----\n"
     ]
    }
   ],
   "source": [
    "def closest(embeddings, word, n):\n",
    "    \"\"\"密ベクトル集合から、指定された単語に類似した単語を検索して出力する。\n",
    "\n",
    "    :param embeddings: 単語の密ベクトルを辞書型で保存したもの。{word:vector}\n",
    "    :param word: 検索対象語。str型。\n",
    "    :param n: 類似度が最も高いn件まで出力。\n",
    "    \"\"\"\n",
    "    distances = dict()\n",
    "    for w in embeddings.keys():\n",
    "        distances[w] = cos_similarity(embeddings[w],embeddings[word])\n",
    "    d_sorted = collections.OrderedDict(sorted(distances.items(),key = lambda x:x[1] ,reverse = True))\n",
    "    s_words = list(d_sorted.keys())\n",
    "    print(\"closest({})\".format(word))\n",
    "    print(s_words[:n])\n",
    "\n",
    "    # 参考用に3件まで類似度を出力\n",
    "    print(cos_similarity(embeddings[word], embeddings[s_words[0]]), word, s_words[0])\n",
    "    print(cos_similarity(embeddings[word], embeddings[s_words[1]]), word, s_words[1])\n",
    "    print(cos_similarity(embeddings[word], embeddings[s_words[2]]), word, s_words[2])\n",
    "    print(\"----\")\n",
    "\n",
    "closest(word_to_vec,'桃太郎',10)\n",
    "closest(word_to_vec,'おじいさん',10)\n",
    "closest(word_to_vec,'猿',10)\n",
    "closest(word_to_vec,'鬼',10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# t-SNE visualization\n",
    "os.environ['KMP_DUPLICATE_LIB_OK']='True'\n",
    "#OMP: Error #15: Initializing libiomp5.dylib, but found libiomp5.dylib already initialized.\n",
    "#上記エラーに対応するための環境変数設定。なお、エラー文全文によるとこの方法は非推奨の模様。\n",
    "#nokmlをインストールすることで解決できるケースが多いようだけど、試した限りでは途中で関連ライブラリのインストールが止まるため、今回は環境変数設定で対応することに。\n",
    "#参考：https://stackoverflow.com/questions/53648730/omp-error-15-initializing-libiomp5-dylib-but-found-libiomp5-dylib-already-in\n",
    "\n",
    "# フォント設定\n",
    "import matplotlib\n",
    "import matplotlib.font_manager as font_manager\n",
    "font_path = '/Library/Fonts/Arial Unicode.ttf'\n",
    "font_prop = font_manager.FontProperties(fname = font_path)\n",
    "matplotlib.rcParams['font.family'] = font_prop.get_name()\n",
    "\n",
    "# TSNE設定\n",
    "from sklearn.manifold import TSNE\n",
    "tagger = MeCab.Tagger('-d /usr/local/lib/mecab/dic/mecab-ipadic-neologd')\n",
    "labels = []\n",
    "tokens = []\n",
    "for w in word_to_vec.keys():\n",
    "    # 全ての単語を描画したい場合、ここでの品詞判定をせずに、全てlabels.appendすると良い。\n",
    "    temp = tagger.parse(w).split()[1]\n",
    "    pos = temp.split(',')[0]\n",
    "    if pos == '名詞':\n",
    "        labels.append(w)\n",
    "        tokens.append(word_to_vec[w])\n",
    "\n",
    "# 各種パラメータは適宜ドキュメント参照。ここでは固定したいのでシード値も設定。\n",
    "tsne_model = TSNE(perplexity=40, n_components=2, init='pca', n_iter=2500, random_state=23)\n",
    "new_values = tsne_model.fit_transform(tokens)\n",
    "x = []\n",
    "y = []\n",
    "for value in new_values:\n",
    "    x.append(value[0])\n",
    "    y.append(value[1])\n",
    "\n",
    "plt.figure(figsize=(16, 16))\n",
    "for i in range(len(x)):\n",
    "    plt.scatter(x[i], y[i])\n",
    "    plt.annotate(labels[i],\n",
    "                 xy=(x[i], y[i]),\n",
    "                 xytext=(5, 2),\n",
    "                 textcoords='offset points',\n",
    "                 ha='right',\n",
    "                 va='bottom')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
