1.1 Preprocessing.ipynb

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     "end_time": "2022-01-01T04:15:20.746427Z",
     "start_time": "2022-01-01T04:15:09.184552Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Requirements.txt already exists, use --force to overwrite it\n"
     ]
    }
   ],
   "source": [
    "!pipreqs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "FxGyDiCe3J2t"
   },
   "outputs": [],
   "source": [
    "from tqdm.notebook import tqdm\n",
    "import pickle\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mounted at /content/drive\n"
     ]
    }
   ],
   "source": [
    "from google.colab import drive\n",
    "drive.mount('/content/drive')\n",
    "\n",
    "project_path = \"/content/drive/MyDrive/Colab Notebooks/Projects/PIE/\"\n",
    "\n",
    "with open(project_path + \"Embeddings/english_embeddings.pickle\", 'rb') as f:\n",
    "    english_embeddings_dict = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    },
    "id": "M9OUjqvytk7r",
    "outputId": "2dc0753d-c3e6-4d9e-9bce-86956aeccad3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "400000"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(english_embeddings_dict.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "XmNx_6tetVgR"
   },
   "outputs": [],
   "source": [
    "#english_embeddings_dict.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qq62W8zr3zje"
   },
   "source": [
    "The composition of the dictionary is as follows: corresponding to each word, there is an array of length matching the dimensions of the GloVe embeddings chosen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "mjbBYvjkbgPn"
   },
   "outputs": [],
   "source": [
    "#chars = \"\"\"!\"#$%&\\'()*+,-./:;<=>?@[\\\\]^_`{|}~\"\"\"\n",
    "#nono_list = [char for char in chars] + list(range(0, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 55,
     "status": "ok",
     "timestamp": 1639766989176,
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    },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     /root/nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('wordnet')\n",
    "nltk.download('averaged_perceptron_tagger')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "8_Kd9bJY26eB"
   },
   "outputs": [],
   "source": [
    "def pos_tagger(nltk_tag):\n",
    "    if nltk_tag.startswith('J'):\n",
    "        return wordnet.ADJ\n",
    "    elif nltk_tag.startswith('V'):\n",
    "        return wordnet.VERB\n",
    "    elif nltk_tag.startswith('N'):\n",
    "        return wordnet.NOUN\n",
    "    elif nltk_tag.startswith('R'):\n",
    "        return wordnet.ADV\n",
    "    else:         \n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "jKD1cqR6xal1"
   },
   "outputs": [],
   "source": [
    "from nltk.stem import WordNetLemmatizer\n",
    "from nltk.corpus import wordnet \n",
    "\n",
    "lemmatizer = WordNetLemmatizer()\n",
    " \n",
    "def lemmatise(word):\n",
    "    return lemmatizer.lemmatize(word, pos_tagger(nltk.pos_tag([word])[0][1]))\n"
   ]
  },
  {
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   "execution_count": null,
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     "height": 35
    },
    "executionInfo": {
     "elapsed": 44,
     "status": "ok",
     "timestamp": 1639766989180,
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    },
    "id": "M0K1isfd37rv",
    "outputId": "827df413-32c0-49bf-e20b-7051fd671767"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'sleep'"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lemmatise('sleeping')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "_VCglqyLm8_W"
   },
   "outputs": [],
   "source": [
    "translation_table = dict.fromkeys(map(ord, \"\"\"!\"“”#$%&\\'()*+,-–./:;<=>?@[\\\\]^_`{|}~1234567890\"\"\"), None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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     "base_uri": "https://localhost:8080/",
     "height": 49,
     "referenced_widgets": [
      "c0c339b22f114758bb6da1460c677346",
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      "a03ca9b01de14363a58b5e71fd3443cb"
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    "executionInfo": {
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    },
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   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c0c339b22f114758bb6da1460c677346",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/400000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lemmatised_english_embeddings = {}\n",
    "for k, v in tqdm(english_embeddings_dict.items()):\n",
    "    try:\n",
    "        lemmatised_english_embeddings.update({lemmatise(k).translate(translation_table): v})\n",
    "    except KeyError:\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "tiVPtIdL6l2A"
   },
   "outputs": [],
   "source": [
    "#with open(project_path + \"Embeddings/lemmatised_english_embeddings.pickle\", \"wb\") as f:\n",
    "#  pickle.dump(lemmatised_english_embeddings, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "EKY_iuxFsu9P"
   },
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "lFBWJuza6s7v"
   },
   "outputs": [],
   "source": [
    "#with open(project_path + \"Embeddings/lemmatised_english_embeddings.pickle\", 'rb') as f:\n",
    "#    lemmatised_english_embeddings = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 66,
     "status": "ok",
     "timestamp": 1639767068068,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
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     },
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    },
    "id": "hKjTDYEE6_ym",
    "outputId": "176419b1-b806-4edd-812f-160e4ba63efd"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "316431"
      ]
     },
     "execution_count": 166,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(lemmatised_english_embeddings.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "NdozW7dNsO3z"
   },
   "source": [
    "Taking the first 10% of the words since the rest are fairly uncommon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 59,
     "status": "ok",
     "timestamp": 1639767068071,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "GMnBSiT3EfUg",
    "outputId": "29375111-80d1-462d-963c-fd8f03d508a1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18985"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "N = int(len(lemmatised_english_embeddings.keys())*6/100)\n",
    "N"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 49,
     "status": "ok",
     "timestamp": 1639767068071,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "x64BGc_Kj6aC",
    "outputId": "d46e25ca-7057-4527-e76f-3f80d4793918"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18985"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c10 = dict(list(lemmatised_english_embeddings.items())[0: N]) \n",
    "len(c10.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 41,
     "status": "ok",
     "timestamp": 1639767068072,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
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     },
     "user_tz": -330
    },
    "id": "RRbGsi7mYHab",
    "outputId": "2ee7721a-cb11-480c-fd89-2a5422c76cb6"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['',\n",
       " 'be',\n",
       " 'say',\n",
       " 'have',\n",
       " 'not',\n",
       " 'i',\n",
       " 'new',\n",
       " 'also',\n",
       " 'more',\n",
       " 'first',\n",
       " 'up',\n",
       " 'year',\n",
       " 'there',\n",
       " 'other',\n",
       " 'people',\n",
       " 'nt',\n",
       " 'percent',\n",
       " 'last',\n",
       " 'government',\n",
       " 'time',\n",
       " 'world',\n",
       " 'do',\n",
       " 'president',\n",
       " 'only',\n",
       " 'state',\n",
       " 'most',\n",
       " 'us',\n",
       " 'so',\n",
       " 'united',\n",
       " 'many',\n",
       " 'now',\n",
       " 'city',\n",
       " 'make',\n",
       " 'just',\n",
       " 'national',\n",
       " 'day',\n",
       " 'country',\n",
       " 'such',\n",
       " 'second',\n",
       " 'then',\n",
       " 'company',\n",
       " 'group',\n",
       " 'china',\n",
       " 'down',\n",
       " 'war',\n",
       " 'back',\n",
       " 'south',\n",
       " 'american',\n",
       " 'minister',\n",
       " 'police']"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(c10.keys())[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "gcHOKU9X1lHw"
   },
   "outputs": [],
   "source": [
    "import spacy\n",
    "from spacy import displacy\n",
    "\n",
    "NER = spacy.load(\"en_core_web_sm\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49,
     "referenced_widgets": [
      "f338a96b0051420fb0309d757fcb687f",
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      "bdb956c82b254fd4be78ae9afe9c4dc2",
      "7a32567338944c6da8c53ce82369cfdc",
      "2578311d54414f53a039dd56ec037d1a",
      "ecf598093e3f494b86586fa3334e0e2d",
      "2ee794538d7e46c2a3c92311c6caa234",
      "b0022b7627ef4157b9f819894234acdf",
      "3d51f857e47b4b2e8a803fda154e9f1d",
      "235340c3dfad4b87ba46629c6b2a6922",
      "4d7fe08d143b48cabba1934158974ee1"
     ]
    },
    "executionInfo": {
     "elapsed": 135846,
     "status": "ok",
     "timestamp": 1639767204667,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "44QxmlLSUvbA",
    "outputId": "60f923cb-eb2a-4de5-8d38-7da8695c872b"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f338a96b0051420fb0309d757fcb687f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/18985 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#4 mins\n",
    "c10_ =  {}\n",
    "for i, _ in tqdm(c10.items()):\n",
    "    try:\n",
    "        if NER(i).ents[0].label_ != \"GPE\":\n",
    "            c10_.update({i:_})\n",
    "    except IndexError:\n",
    "        c10_.update({i:_})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 50,
     "status": "ok",
     "timestamp": 1639767204669,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
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     },
     "user_tz": -330
    },
    "id": "EqRCl-iFY4iD",
    "outputId": "ff447a50-8e0b-49b3-c593-e175a69a6390"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "380"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(c10.keys()) - len(c10_.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "9kd2eEjXXfZ9"
   },
   "outputs": [],
   "source": [
    "#c10_.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "O8iv8v2GXuXa"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/c10_.pickle\", \"wb\") as f:\n",
    "    pickle.dump(c10_, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "wE4dnctUXuQp"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/c10_.pickle\", 'rb') as f:\n",
    "    c10_ = pickle.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8Wl_jyOUXocO"
   },
   "source": [
    "#Removing names\n",
    "\n",
    "Using a list of common names from https://github.com/smashew/NameDatabases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "RAo9QNVmcfYs"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Resources/names.txt\", \"rb\") as f:\n",
    "    firstnames = []\n",
    "    for line in f:\n",
    "        firstnames.append(line.rstrip().decode(\"utf-8\").lower())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 36,
     "status": "ok",
     "timestamp": 1639767205472,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "0O0Xl_55ddHH",
    "outputId": "b3abfe26-8078-4a72-d32c-322b7396efb9"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['aaron',\n",
       " 'abbey',\n",
       " 'abbie',\n",
       " 'abby',\n",
       " 'abdul',\n",
       " 'abe',\n",
       " 'abel',\n",
       " 'abigail',\n",
       " 'abraham',\n",
       " 'abram']"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "firstnames[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 26,
     "status": "ok",
     "timestamp": 1639767205474,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "xxzxsr3CdBmg",
    "outputId": "696cbd5e-a85e-4449-fd27-b77522fad93f"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "93962"
      ]
     },
     "execution_count": 178,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(firstnames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49,
     "referenced_widgets": [
      "0e0ea66953384d6ea6f6d22e18e01298",
      "34703aa1151f44a9a8ecdd4258421e9a",
      "4829a750195641e3bd8d1c3af7e8d62c",
      "13f752abe47d48108d532a0efa571f88",
      "5325f316b6a84a698a5003b27bbe6101",
      "315f46a296e24f58bee2ac66cb341ce6",
      "832fd4bb36a74d5ab819a1aa2a498293",
      "b4e56e5f34784d6dae1447937753fe95",
      "db810b08eedf40f99d043b09477b1bfa",
      "a7224221bc6f4da0a221d865f09f207d",
      "2971cb7c65744598b0445c23180f49c2"
     ]
    },
    "executionInfo": {
     "elapsed": 31670,
     "status": "ok",
     "timestamp": 1639767237127,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "PKa-A0YfcfVd",
    "outputId": "54a5a867-9f6f-415f-edd3-7b20a8e6cfeb"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0e0ea66953384d6ea6f6d22e18e01298",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/18605 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#4 secs??\n",
    "c10_nonames =  {}\n",
    "for i, _ in tqdm(c10_.items()):\n",
    "    if i not in firstnames:\n",
    "        c10_nonames.update({i:_})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 82,
     "status": "ok",
     "timestamp": 1639767237128,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "XkOsoXcAcfSU",
    "outputId": "9f4da7b0-f8b6-4f42-9d11-912a941580e7"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12716"
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(c10_nonames)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 64,
     "status": "ok",
     "timestamp": 1639767237128,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "EXE5ffnfcfQi",
    "outputId": "f93ea902-1dc6-400c-8e69-33c67758a3c8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-5.0656e-01, -1.3843e-01,  2.9738e-03, -3.2893e-01, -5.3862e-01,\n",
       "       -3.0362e-01, -2.1927e-02,  8.4818e-01,  3.2276e-01, -5.4604e-02,\n",
       "        2.3880e-01,  2.9270e-02,  4.5710e-01,  6.1590e-01, -3.9467e-01,\n",
       "       -1.3748e-01,  2.2557e-01, -3.5089e-01,  5.6295e-01,  3.0007e-01,\n",
       "       -8.5782e-01, -3.5806e-01, -1.4833e-01, -1.3913e-01,  9.4542e-02,\n",
       "        9.5604e-01, -4.9341e-01,  1.1048e-01, -7.8364e-02, -2.8947e-01,\n",
       "       -1.2277e+00,  1.6963e-01,  4.5284e-01,  3.1358e-01,  2.6957e-01,\n",
       "        2.5120e-01,  3.9990e-01, -3.8790e-01, -2.6300e-01, -1.8984e-05,\n",
       "       -6.2263e-01, -9.7118e-01,  9.6443e-02,  6.8215e-01, -3.3944e-01,\n",
       "       -5.3999e-01, -6.8191e-02,  2.0739e-01, -1.2601e-01, -5.9457e-01],\n",
       "      dtype=float32)"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c10['kendall']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 55,
     "status": "ok",
     "timestamp": 1639767237129,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "ry90KWPVcfO5",
    "outputId": "f4f6316c-56ca-4c9d-b49a-97b8bd524db0"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "'kendall' not here\n"
     ]
    }
   ],
   "source": [
    "try:\n",
    "    c10_nonames['kendall']\n",
    "except KeyError as e:\n",
    "    print(e, 'not here')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "bwx-2HcAcfNb"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/c10_nonames.pickle\", \"wb\") as f:\n",
    "    pickle.dump(c10_nonames, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1sqOcMOoXoZV"
   },
   "source": [
    "#Dropping strings with fewer than 3 characters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49,
     "referenced_widgets": [
      "a4fc76b17dfb4a8782a16676bd584cfe",
      "1023db0cbd8842859dc836da003a806e",
      "890050515cec43d59f145a1abd787cef",
      "61649637263648ecb590a55f9d4bc06f",
      "60def73e57ae4f42b0f15d3b948f388a",
      "04c64c595f2b4a5b9f8db4f9f9005020",
      "b47a125eb78c499a97d173814720714c",
      "0069fa6f58de4740b09baafebd22950b",
      "454311276cc6487290e382b921504985",
      "c9b792f6c73a4ccc93fdea1b001d0932",
      "3bc29b644fdc4414af3c20e611520bb6"
     ]
    },
    "executionInfo": {
     "elapsed": 46,
     "status": "ok",
     "timestamp": 1639767237131,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "IPo49sBpflb8",
    "outputId": "9374128d-2fe9-4180-b5fc-55ae7156bd1e"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a4fc76b17dfb4a8782a16676bd584cfe",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/12716 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#4 secs??\n",
    "c10_nonames_ =  {}\n",
    "for i, _ in tqdm(c10_nonames.items()):\n",
    "    if len(i) > 2:\n",
    "        c10_nonames_.update({i:_})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 37,
     "status": "ok",
     "timestamp": 1639767237132,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "eRqIo4QSf1W1",
    "outputId": "554aef57-b8e7-4ef2-96ee-b3237c0bc3e3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12457"
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(c10_nonames_.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lMeSE7IGgd4A"
   },
   "source": [
    "#Dropping Nationalities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "Iz7krw8fg9Mm"
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "with open(project_path + 'Resources/nationalities.csv', newline='') as f:\n",
    "    reader = csv.reader(f)\n",
    "    data = list(reader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "sqBOKqDfhlQF"
   },
   "outputs": [],
   "source": [
    "%%capture\n",
    "!pip install pipe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 156,
     "status": "ok",
     "timestamp": 1639767240961,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "XxmKzf_fg9ES",
    "outputId": "d7d151bf-2581-42f0-88fd-12de7f799fa2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['afghan',\n",
       " 'albanian',\n",
       " 'algerian',\n",
       " 'american',\n",
       " 'andorran',\n",
       " 'angolan',\n",
       " 'anguillan',\n",
       " 'argentine',\n",
       " 'armenian',\n",
       " 'australian']"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pipe import traverse\n",
    "nationalities = list(data | traverse)\n",
    "\n",
    "nationalities = nationalities[1:]\n",
    "\n",
    "nationalities = [i.lower() for i in nationalities]\n",
    "\n",
    "nationalities[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49,
     "referenced_widgets": [
      "76debacac19447fc8ab0dcb26eddc7cc",
      "a14c662c2069496ca71800245d0c1619",
      "c1e6d1bcf75045d6a2a0d13a736f60ad",
      "0875567b680a47639c2c5634fcef01ee",
      "abc35239f62941acb23ac2e9ee816cba",
      "231e301b75de457bbf2e4e9d7b8fbf39",
      "638e5252acfc4737afadb8e03cdfd748",
      "958f9285e963403a9b9e1759a0f396a1",
      "012048f97f764c9b921da0b62146725d",
      "346ce7e57a6349aa82c8d80cb4fc06b8",
      "aac6a8043c4e44da862f5452114554a1"
     ]
    },
    "executionInfo": {
     "elapsed": 135,
     "status": "ok",
     "timestamp": 1639767240962,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "jp-mgOaGiNRl",
    "outputId": "e861cec4-226f-4fe1-d493-1a0a5c1ced5e"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "76debacac19447fc8ab0dcb26eddc7cc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/12457 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#0 secs??\n",
    "c10_nonames__ =  {}\n",
    "for i, _ in tqdm(c10_nonames_.items()):\n",
    "    if i not in nationalities:\n",
    "        c10_nonames__.update({i:_})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 113,
     "status": "ok",
     "timestamp": 1639767240963,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "vLABwxE5ie7w",
    "outputId": "eb8564ba-9938-454d-fba8-7164e64e0618"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12348"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(c10_nonames__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "2rEpPw60ij5d"
   },
   "outputs": [],
   "source": [
    "#c10_nonames__.keys()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3yoHbVkNqnOL"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "BlTysNinqmhE"
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "\n",
    "with open(project_path + 'Resources/brands.csv', newline='') as f:\n",
    "    reader = csv.reader(f)\n",
    "    data = list(reader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 49,
     "status": "ok",
     "timestamp": 1639767240967,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "MRMhzBger2m9",
    "outputId": "66291a5c-d7d1-424d-842f-d1c685695d99"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1601"
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(brands)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 222,
     "referenced_widgets": [
      "10aef82dc52d43f6beedf82a711c4592",
      "d28ee0655ece49e0a85b3fa444a12d26",
      "b7d6bfac5db44cd086d395fbdf73fdb0",
      "8ee9ff7fb1d24fcfb8abf3c14f0a805e",
      "1db42b35aa8240649289f96a798463de",
      "65bf4a47bab94d41af302f5b2ad71e4a",
      "465e63bd5aa647918ccd221fd9c1c924",
      "4b28032be2cd4650aa5dcfe2b95c822d",
      "2eb469686a5942c48b8c6f56290f4091",
      "688b2701adc5412492262073ff20cd2a",
      "5ca9182f8655447aa3a9228382ab027e"
     ]
    },
    "executionInfo": {
     "elapsed": 45,
     "status": "ok",
     "timestamp": 1639767240969,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "iiYkiPFQqmfH",
    "outputId": "f1364980-a15e-4be8-ce31-147c59bde6cd"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "10aef82dc52d43f6beedf82a711c4592",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "['walmart',\n",
       " 'amazon',\n",
       " 'exxon mobil',\n",
       " 'apple',\n",
       " 'cvs health',\n",
       " 'berkshire hathaway',\n",
       " 'unitedhealth group',\n",
       " 'mckesson',\n",
       " 'at&t',\n",
       " 'amerisourcebergen']"
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pipe import traverse\n",
    "#brands = list(data | traverse)\n",
    "\n",
    "brands = [i[0].lower() for i in data[1:]]\n",
    "\n",
    "brands_fnames = []\n",
    "for brand in tqdm(brands):\n",
    "    brands_fnames.append(brand.split(' ')[0])\n",
    "\n",
    "for name in brands_fnames:\n",
    "    if name not in brands:\n",
    "        brands.append(name)\n",
    "\n",
    "brands[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 40,
     "status": "ok",
     "timestamp": 1639767240970,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "TEOydzxLqmBe",
    "outputId": "18c773e7-7f9e-4740-cd00-a529841f1e9c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1601"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(brands)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 49,
     "referenced_widgets": [
      "a5f538d4092a4f5ab80cdecc2fca506e",
      "dc1271f9fb724415bf056ad5101e1583",
      "d4639d6929ff4dfba43313284aaf5438",
      "6551ed3d388d4abb89a63c7272969bb3",
      "fb20183dba7a4a018ca3095cffbd9269",
      "98bc4eb2afa1414d8e87eb0961fefe02",
      "64e2d7e2600047c1b1e9917de3c69ad5",
      "80103abe29c347998ea67016dc8bc05d",
      "f8df252f366d46408a7029c945c2dfcb",
      "04a55e098cfd4a048f118811b1728621",
      "04a8b746300e4a26b7a8b07c437c568b"
     ]
    },
    "executionInfo": {
     "elapsed": 1607,
     "status": "ok",
     "timestamp": 1639767242541,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "wp7LS8nTtKjp",
    "outputId": "eb1f751a-7909-41b8-c4e1-949578194d11"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a5f538d4092a4f5ab80cdecc2fca506e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/12348 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#0 secs??\n",
    "c10_nonames___ =  {}\n",
    "for i, _ in tqdm(c10_nonames__.items()):\n",
    "    if i not in brands:\n",
    "        c10_nonames___.update({i:_})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 26,
     "status": "ok",
     "timestamp": 1639767242542,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "ugT31177tWOV",
    "outputId": "63be4515-bc1e-43b1-db7c-56561e2ba012"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12178"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(c10_nonames___)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "gB-nq7XZi6mM"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/c10_nonames___.pickle\", \"wb\") as f:\n",
    "    pickle.dump(c10_nonames___, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 26,
     "status": "ok",
     "timestamp": 1639767242544,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "3pLFZRi6i_wG",
    "outputId": "580d1234-11da-466f-c516-03887fb3dfc1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['have', 'not', 'also', 'year', 'there', 'percent', 'government', 'time', 'only', 'make', 'company', 'include', 'team', 'week', 'official', 'told', 'former', 'get', 'tuesday', 'wednesday', 'military', 'use', 'next', 'thursday', 'game', 'here', 'take', 'very', 'security', 'accord', 'several', 'foreign', 'set', 'political', 'however', 'family', 'same', 'university', 'know', 'month', 'member', 'third', 'local', 'economic', 'report', 'business', 'own', 'woman', 'think', 'help', 'chief', 'saturday', 'system', 'support', 'series', 'play', 'office', 'follow', 'meeting', 'expect', 'european', 'final', 'add', 'history', 'become', 'run', 'open', 'name', 'trade', 'oil', 'film', 'lead', 'played', 'death', 'least', 'put', 'past', 'federal', 'earlier', 'great', 'release', 'department', 'health', 'ago', 'cup', 'election', 'region', 'director', 'program', 'far', 'today', 'statement', 'district', 'again', 'development', 'county', 'spokesman', 'financial', 'recent', 'campaign', 'need', 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'electrification', 'resonate', 'zaheer', 'arcadia', 'issuer', 'carousel', 'rebranded', 'livorno', 'additive', 'carthage', 'arad'])"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c10_nonames___.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "oZ37TaC8i_nv"
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "fcy1sa0TEkLI"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/final_english_embeddings.pickle\", \"wb\") as f:\n",
    "    pickle.dump(c10_nonames___, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "jzX0RHPCE9Tt"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/final_english_embeddings.pickle\", 'rb') as f:\n",
    "    c = pickle.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 885,
     "status": "ok",
     "timestamp": 1639794295051,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "9wmSz8rGWqNJ",
    "outputId": "756107e3-b7ec-435d-e7c6-22f1ea6840c3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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'eps', 'conscientious', 'grenoble', 'uncontrolled', 'deluge', 'fondness', 'azores', 'rayon', 'defies', 'scandalous', 'katyusha', 'barony', 'brownsville', 'petronas', 'galactic', 'jab', 'mandalay', 'laxman', 'epoch', 'drip', 'artisan', 'measurable', 'unmistakable', 'jamming', 'brentwood', 'wacky', 'alastair', 'signify', 'molotov', 'akira', 'coerce', 'wyeth', 'jerzy', 'martín', 'gte', 'assange', 'snubbed', 'continuum', 'generational', 'kostelic', 'litany', 'landmine', 'diaper', 'sorely', 'childless', 'schism', 'sanofi', 'impatience', 'gazeta', 'gunnar', 'vieri', 'visitation', 'expressly', 'punta', 'shreveport', 'twostory', 'mikael', 'steamboat', 'itf', 'skillful', 'vols', 'decapitate', 'carrey', 'insolvency', 'belarussian', 'sludge', 'sattar', 'dissemination', 'upfront', 'treble', 'terrorize', 'mufti', 'jeopardized', 'quds', 'purposely', 'awry', 'petrochina', 'denounces', 'superdelegates', 'scuttle', 'leveling', 'haniyeh', 'msf', 'churchyard', 'asem', 'leaguers', 'bournemouth', 'hardwood', 'pediatrician', 'cerberus', 'valiant', 'qichen', 'minimalist', 'toulon', 'altercation', 'foment', 'symmetric', 'obe', 'cobalt', 'highprofile', 'panchayat', 'urbanization', 'geek', 'typed', 'exxonmobil', 'squatter', 'forearm', 'officiate', 'nationalistic', 'ancelotti', 'khyber', 'thyme', 'leafy', 'raoul', 'strenuous', 'eed', 'digestive', 'payouts', 'validation', 'shovel', 'enchant', 'latex', 'epilepsy', 'domenici', 'euphrates', 'awoke', 'hari', 'presse', 'robinho', 'nagin', 'exemplify', 'blu', 'millwall', 'iucn', 'tundra', 'shang', 'conditioner', 'eureka', 'francona', 'erakat', 'modernism', 'golfing', 'abstention', 'misstep', 'wasim', 'theodor', 'symbolically', 'changchun', 'hopelessly', 'stimulant', 'reflex', 'catchment', 'polynesia', 'atlético', 'ethos', 'microprocessor', 'reaped', 'llp', 'bedside', 'unc', 'hyper', 'pflp', 'deviation', 'caen', 'coa', 'cheerleader', 'carving', 'buyoya', 'arantxa', 'ata', 'pbpostcom', 'decomposition', 'yearbook', 'pacquiao', 'uncanny', 'mystique', 'midseason', 'aromatic', 'enmity', 'png', 'potro', 'shrek', 'complacent', 'inept', 'compulsive', 'intermittently', 'optimization', 'craftsman', 'cba', 'bluray', 'grotesque', 'iwo', 'curiously', 'recede', 'malaise', 'homelessness', 'ramzi', 'voh', 'dishonest', 'jargon', 'mockery', 'glide', 'arcane', 'ilan', 'monsignor', 'hippie', 'twotime', 'diouf', 'bainimarama', 'loosening', 'beslan', 'waltham', 'richness', 'hellenic', 'goer', 'ops', 'unwittingly', 'stoxx', 'morphine', 'odierno', 'subgroup', 'ssr', 'var', 'sponge', 'ayad', 'trafalgar', 'multinationals', 'softbank', 'restores', 'prod', 'spew', 'rudimentary', 'midmorning', 'rembrandt', 'innate', 'sanity', 'turquoise', 'jurisprudence', 'deficient', 'evander', 'intruder', 'scud', 'phosphorus', 'secede', 'feeble', 'utilizes', 'luzhkov', 'embezzle', 'nasional', 'pathologist', 'marxism', 'rpg', 'refute', 'kasyanov', 'steeplechase', 'leakage', 'martínez', 'artistry', 'promenade', 'obedience', 'convenes', 'neutralize', 'bracelet', 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'electrification', 'resonate', 'zaheer', 'arcadia', 'issuer', 'carousel', 'rebranded', 'livorno', 'additive', 'carthage', 'arad'])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
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     "base_uri": "https://localhost:8080/",
     "height": 49,
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    "executionInfo": {
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     "status": "ok",
     "timestamp": 1639797519444,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
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    "id": "jU6qFq1yG5nF",
    "outputId": "2d9c2c1e-1291-445b-a19f-5c8046f7facd"
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   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1b2fe2f3ccad4544971b769bd6bb880e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/12178 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "vectors_list = []\n",
    "for i in tqdm(c.values()):\n",
    "    vectors_list.append(tuple(i))\n",
    "\n",
    "with open(project_path + \"Embeddings/vectors_list.pickle\", \"wb\") as f:\n",
    "    pickle.dump(vectors_list, f)#, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
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      "d1cdddb8b1f34b78aaa8c4b703ed7e29"
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    "executionInfo": {
     "elapsed": 6540,
     "status": "ok",
     "timestamp": 1639797637770,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
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     },
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    },
    "id": "XXdYLeCpi22k",
    "outputId": "3f3b87a5-8205-4fd9-f714-c608a5b6d9a6"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a5ff7da284c044f59a1ce3bfe7bc2139",
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       "version_minor": 0
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       "  0%|          | 0/12178 [00:00<?, ?it/s]"
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     },
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   ],
   "source": [
    "a = {}\n",
    "for i in tqdm(range(len(c))):\n",
    "    a.update({list(c.keys())[i] : vectors_list[i]})\n",
    "\n",
    "with open(project_path + \"Embeddings/en_embeddings.pickle\", \"wb\") as f:\n",
    "    pickle.dump(a, f, protocol=pickle.HIGHEST_PROTOCOL)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 25,
     "status": "aborted",
     "timestamp": 1639797637777,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "kbRDKTaDtIW1"
   },
   "outputs": [],
   "source": [
    "a.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 27,
     "status": "aborted",
     "timestamp": 1639797637780,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "Wn_CpP53G5i1"
   },
   "outputs": [],
   "source": [
    "cc = {}\n",
    "for k, v in c.items():\n",
    "    cc.update({k : v.tolist()})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 29,
     "status": "aborted",
     "timestamp": 1639797637782,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "UdLaKxuWG5gR"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/english_embeddings.pickle\", \"wb\") as f:\n",
    "    pickle.dump(cc, f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 32,
     "status": "aborted",
     "timestamp": 1639797637786,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "NG2AinThFCzu"
   },
   "outputs": [],
   "source": [
    "with open(project_path + \"Embeddings/english_embeddings.txt\", \"w\") as f:\n",
    "    f.write(str(cc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 33,
     "status": "aborted",
     "timestamp": 1639797637789,
     "user": {
      "displayName": "Sarthak Rastogi",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgjV2l0bM183bdefu3PYpY3V0EEWbr7EAUJZfSsQyA=s64",
      "userId": "13011506269675720653"
     },
     "user_tz": -330
    },
    "id": "s94PZZBqG0LM"
   },
   "outputs": [],
   "source": [
    "file=open(project_path+'Embeddings/eng_keys06.txt','w')\n",
    "for item in cc.keys():\n",
    "    file.writelines(item+'\\n')\n",
    "file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "executionInfo": {
     "elapsed": 37,
     "status": "aborted",
     "timestamp": 1639797637793,
     "user": {
      "displayName": "Sarthak Rastogi",
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     },
     "user_tz": -330
    },
    "id": "GwlDTDn3LDyt"
   },
   "outputs": [],
   "source": []
  }
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