Topic_Modeling_using__Latent_Dirichlet_Allocation.ipynb

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            "--2024-05-08 12:53:14--  https://lazyprogrammer.me/course_files/nlp/bbc_text_cls.csv\n",
            "Resolving lazyprogrammer.me (lazyprogrammer.me)... 172.67.213.166, 104.21.23.210, 2606:4700:3031::6815:17d2, ...\n",
            "Connecting to lazyprogrammer.me (lazyprogrammer.me)|172.67.213.166|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 5085081 (4.8M) [text/csv]\n",
            "Saving to: ‘bbc_text_cls.csv’\n",
            "\n",
            "bbc_text_cls.csv    100%[===================>]   4.85M  19.2MB/s    in 0.3s    \n",
            "\n",
            "2024-05-08 12:53:15 (19.2 MB/s) - ‘bbc_text_cls.csv’ saved [5085081/5085081]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "# https://www.kaggle.com/shivamkushwaha/bbc-full-text-document-classification\n",
        "!wget -nc https://lazyprogrammer.me/course_files/nlp/bbc_text_cls.csv"
      ]
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import nltk\n",
        "import textwrap\n",
        "\n",
        "from nltk.corpus import stopwords\n",
        "\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.decomposition import LatentDirichletAllocation"
      ],
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        "id": "7pvoTz9rQ8Bk"
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      "outputs": []
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        "nltk.download('stopwords')"
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            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
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      "source": [
        "stops = set(stopwords.words('english'))"
      ],
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        "id": "sQ1kyZiHRfwz"
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      "execution_count": 5,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "stops = stops.union({\n",
        "    'said', 'would', 'could', 'told', 'also', 'one', 'two',\n",
        "    'mr', 'new', 'year',\n",
        "})\n",
        "stops = list(stops) # required for later version of CountVectorizer"
      ],
      "metadata": {
        "id": "bvFCZbrARi3Z"
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      "execution_count": 6,
      "outputs": []
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        "df = pd.read_csv('bbc_text_cls.csv')"
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              "                                                text    labels\n",
              "0  Ad sales boost Time Warner profit\\n\\nQuarterly...  business\n",
              "1  Dollar gains on Greenspan speech\\n\\nThe dollar...  business\n",
              "2  Yukos unit buyer faces loan claim\\n\\nThe owner...  business\n",
              "3  High fuel prices hit BA's profits\\n\\nBritish A...  business\n",
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        "vectorizer = CountVectorizer(stop_words=stops)"
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              "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LatentDirichletAllocation(random_state=12345)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LatentDirichletAllocation</label><div class=\"sk-toggleable__content\"><pre>LatentDirichletAllocation(random_state=12345)</pre></div></div></div></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_top_words(model, feature_names, n_top_words=10):\n",
        "  fig, axes = plt.subplots(2, 5, figsize=(30, 15), sharex=True)\n",
        "  axes = axes.flatten()\n",
        "  for topic_idx, topic in enumerate(model.components_):\n",
        "    top_features_ind = topic.argsort()[: -n_top_words - 1 : -1]\n",
        "    top_features = [feature_names[i] for i in top_features_ind]\n",
        "    weights = topic[top_features_ind]\n",
        "\n",
        "    ax = axes[topic_idx]\n",
        "    ax.barh(top_features, weights, height=0.7)\n",
        "    ax.set_title(f\"Topic {topic_idx +1}\", fontdict={\"fontsize\": 30})\n",
        "    ax.invert_yaxis()\n",
        "    ax.tick_params(axis=\"both\", which=\"major\", labelsize=20)\n",
        "    for i in \"top right left\".split():\n",
        "        ax.spines[i].set_visible(False)\n",
        "    fig.suptitle('LDA', fontsize=40)\n",
        "\n",
        "  plt.subplots_adjust(top=0.90, bottom=0.05, wspace=0.90, hspace=0.3)\n",
        "  plt.show()"
      ],
      "metadata": {
        "id": "nhP7PIaTR76m"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "feature_names = vectorizer.get_feature_names_out()\n",
        "plot_top_words(lda, feature_names);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 925
        },
        "id": "sznbbrKhSARa",
        "outputId": "d49ded81-e93b-43f2-a45c-50c20cbe3d62"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 3000x1500 with 10 Axes>"
            ],
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u3bqSpMuXL2vQoEGpguWk5EX0EiVKSFKqLdusYRwAAHjc3nvvvVTBcpLk7e1tBIxHR0crNjbWKFu2bJnOnTsnKTmQ7OFgOUkqUaKExo4dK0m6c+eO8bxvZr5nQkKCtm3bZlFmzjrXtGlTBQYGWhx7uE7BggVT7RJjMpnsBstJyS/G+/j4KCkpScHBwXbrlitXzupCvNnEiRMlSa6urvrhhx+szlkMGzbM7tyANYwDAAB4/BwcHPTjjz9aDZaTsm5eIyMYAwDITgTM5WI3btzQyZMndejQIR08eFAHDx5Unjx5LMpSMk+0Hz58WLt37862dg4ZMkSxsbEWf16B7bPt/gAAPKp27doZGVseniiXkrdTWbNmjaTkxe+UE8zmyeuWLVvafHCVkh9KX3rpJUnSjh077LYnKSlJFy5c0NGjR40xwMGDB1W0aFFJsnh73ppWrVrJ09PTZrl5zHDt2rVUW7VnBGMAAMDTLGWwmrX+Pz38/f1VvXp1m+Xm7LAJCQlpbql+//59nTlzRr/++qvR9587d04FChSQlHb/37FjR5tlL774YrrqVa5cWZJ04sQJu/eSGAcAAB6/t99+22aZuf9NSkqymCc3B5ibTCajH7Ym5TzAw0Hp1apVM56pU/bf8fHx2rlzp6TkoDpzYN3DfXxYWJik1NuxWpOYmKhz587pt99+M/r/X3/9VcWKFZOUdv/foUMHOTo6Wi178OCB0bYmTZqoSJEiVus5ODioe/fuabY1JcYBAAA8fnXq1LHYre5hWTGvkVGMAQBkJ+spSvC3derUKX311VdauXKlTp06ZbfulStXVKpUKePfnTp10pgxYxQXF6c6deqoWbNmatGiherWrauKFSvazDLzqFxdXVMFCJB2FQDwNHF3d1fnzp01adIkLVy4UN99950RpC4lb6mWkJAgSRYT7g8ePNC+ffskSVOmTNGUKVPSdb+HM8yYhYSEaNKkSdqyZYtu3rxp8/wrV67Yvb55sduW119/Xfnz59f169fVtm1bNWzYUK1atVL9+vVVpUoVm5PtD2MMAAB4mtWtW1elSpXSiRMnNGjQIM2dO1dt27ZV/fr1VaNGDbm4uKR5jRo1atgtr1mzpvE5Ojo6VbDa/fv3NXXqVM2ePVtRUVGKj4+3ea20+v9y5crZLMufP3+G6tkbh5gxDgAAPG4vvPCCzTJvb2/jc8p+6+DBg5KkkiVLytfX1+b5Li4uqlq1qkJDQ41zzJycnFSnTh2tXbvWIhhu165dunv3rry8vFS1alXduXNHkrRlyxYlJibKwcFBly9f1uHDhyXZDphLSkrS3LlzNW3aNOOatjzK8//x48eNNmZkzJIejAMAAHj80prnz4p5jYxiDAAgO5FhLhdZs2aNKlSooPHjx6cZLCcp1YP0Cy+8oPnz5+uZZ55RQkKCVq1apf79+8vf318FCxZU165d07WtCgAAuZF5W9abN29q8eLFFmXmt7Nq1aqlChUqGMevXr1qBNJlhHnC2iwpKUm9evVSy5YtFRISkuYitb3JdCl5q1V7ChQooODgYBUtWlRJSUn65Zdf9M9//lMBAQHy9vbWG2+8oVWrVqXvywAA8JRydnbWypUrja3SIiIiNHToUNWtW1f58+dXs2bNNG/ePD148MDmNQoWLGj3HoUKFTI+X7161aLs6tWreumllzRw4EDt2rXLbrCclHb/nzLY/2EODg4ZqmfvOwMAkF3S27el7LfM/W1afbQkPfvssxbnpGQOdouMjNStW7ck/ZU5rm7dunJ0dFStWrXk5uama9eu6cCBAxZ1JFndTvbevXtq0aKFunbtqtDQ0DT790d5/k/5vTIyZgEAAE+GtOb5s2JeAwCeZATM5RJXrlxR586ddefOHeXNm1cjRozQjh07dOnSJcXFxSkpKUlJSUnatGmTcU5SUlKq67z55ps6efKkpkyZojfeeMN4i+7KlSuaM2eO6tevr6CgICUmJmbbdwMA4GlQrVo1Va1aVZJl+vJdu3YZb4c/vJ1LygfNXr16KTo6Ol1/69evt7jO9OnTNW3aNElSlSpVNHPmTP3666+6ceOGEhISjHFA165dJVkfA6SUngxx9erV07FjxzRnzhx17tzZ2O7lxo0bWrZsmVq1aqVmzZqlCu4DAODvpEKFCoqOjtayZcv0zjvvqEyZMpKSF6fXrVunt99+W7Vq1dKlS5esnv8omdzff/99RUZGSpLatGmj4OBgxcTE6M6dO0pMTDT6/+LFi0tKu/8HAAB/edTdVszBbgkJCdq2bZukv4LhzGWurq4KDAyU9Ne2rOY6vr6+Fi/cmY0ePVpr1qyRlByUt3DhQh07dky3bt3SgwcPjP6/Xr16krLm+V969N8DAABkv/T08486rwEATzK2ZM0lFi9erOvXr0uSli1bpsaNG1utZ+1tt4d5eXmpT58+6tOnjyTp119/1YoVK/T999/r3LlzmjVrlqpWrar3338/y9oPAMDfQa9evTRgwACFhYXp5MmTKlmypBE8lydPnlTbqKXcAiYpKUmVKlXK1H1/+OEHSVKZMmUUHh4ud3d3q/XSMw7ICDc3N7399tt6++23JUknT55USEiIvv/+ex09elTr1q3Tv//9b40bNy5L7wsAwJPE0dFRbdq0UZs2bSRJ58+f19q1azVhwgRFRkYqMjJSffv21bJly1Kde/HiRbvXTlmectxw48YNLViwQJL09ttva86cOTavce3atYx8HQAAcjVzf5tWHy1JFy5csDgnpYCAAHl4eOj27dsKDQ3VK6+8ovDwcEmWmeMaNmyo0NBQhYaGatCgQUbgXP369VMFqSUlJenHH3+UlPwS2+bNmy0y5aWUFc//KbPSZGTMAgAAni6PMq8BAE8yMszlEocOHZKU/HBuK1hOkvbs2ZPha5cvX16ffPKJdu7cKQ8PD0nSwoULLerwhhkAAMkL1u7u7kpKStLMmTN19+5d/fzzz5KSs7jmy5fPor6Li4sqVqwoSdq+fXum72seB7z++us2g+WSkpK0d+/eTN8jPUqWLKmBAwcqIiLCyDj38JgBAIC/u8KFC6tHjx7asWOHqlWrJklatWqV1S3RIiIi7F4rZXnKwPrff/9d9+/flyR16NDB5vlHjhwxtoEDAABpM/e3J0+e1OXLl23Wu3//vqKioizOScnJyUl16tSRlJw9LiIiQnfu3JGXl5eRnV76K3huy5Ytunz5svF8b97SNaWrV68aQXrt2rWzGSx369Yt/fbbb2l91TSVLl3amGPIyJgFAAA83dI7r0F8AIAnHQFzuURCQoIk6d69eza3S71z545mz56d6XsUL15c5cqVk5S8RWtKbm5uxue4uLhM3wMAgKeZl5eX3nrrLUnSrFmztHjxYsXGxkpKvR2r2euvvy4peUF73bp1mbqveRxw+/Ztm3VWrFih8+fPZ+r6GZUvXz7VqFFDUuoxAwAAuYWzs7Ox2J2QkGBkhU8pOjraWGy3Zvr06ZKS3/ZOmY3G3PdL9vv/yZMnZ7DVAADkbuaX0ZOSkoyM8dakfN639QK7eRwQGRmpVatWSZLq1q1rsT1aYGCg3NzcdO3aNX3//ffGFqop+32z9Pb/P/74o0XdzHJycjLasX79eptzComJiZo1a9Yj3w8AADxZ0prXMMcHEBsA4ElFwFwuUbZsWUnJQXHWMrk8ePBAvXr10rlz52xeY/ny5VYn8M3++OMPHTlyRFJyBpmUChQoIBcXF0nS8ePHM9p8AAD+Nnr16iVJOnXqlP71r39JSn4r29rb4ZL0/vvvK2/evJKkHj16GG+T2xISEqIDBw5YHDOPA1auXGl125Xjx49rwIABGfsidqxbt85u8F1sbKx2794tKfWYAQCAv4utW7fq2LFjNsvj4+MVFhYmScqbN698fX2t1uvTp4/VRe958+Zp9erVkqQ2bdqocOHCRlmZMmWMN7lnzZplLK6ntHLlSo0fPz79XwgAAKhNmzYqUqSIJGn06NGKjo5OVeePP/7Q4MGDJUl58uRRjx49rF7LHGyWkJCgiRMnWhwzc3V1Va1atSRJ3333naTkuXZrWet8fX2VP39+SdL8+fOtLk5HRETo//7v/9L4lunXv39/SckL4X379tWDBw9S1RkzZozV3wkAADzZHnVewzxPQWwAgCcVAXO5RPv27eXq6iopebH9k08+0aZNm7Rnzx7NmjVLtWrV0vz584008NZ88803Klq0qNq3b6/JkycrLCxM+/bt0y+//KKxY8eqTp06RqrVfv36WZzr5ORkZJKZPn265s+fr19//VXHjh3TsWPHrC7eAwDwd1S/fn0jI6t5q5SgoCCb6ckLFSqkWbNmyWQy6fz58woICFD//v0VHBysvXv3ateuXVqyZIk+/vhjlS5dWi1bttTp06ctrtGtWzdJ0rlz5/TSSy9p+vTp2r17t7Zs2aIRI0aoevXqunr1qpE+/VHNnz9fJUqUUIsWLfTtt99q06ZNioqK0pYtWzRx4kS99NJLOnv2rKTUYwYAAP4uNm3apOeff14NGzbU2LFjtW7dOu3du1fbt2/XjBkzVK9ePWM79J49e8rJySnVNQICArRnzx4FBARo5syZioyM1ObNm/Xuu++qa9eukiRPT0999dVXFucVKFBAzZs3lyStXbtWTZo00dKlSxUZGak1a9aoV69eatu2rUqVKmUzUA8AAKTm4uKiqVOnymQy6caNG6pTp45GjRql8PBw7dq1S+PGjVNAQIDxYvpXX30lHx8fq9eqUaOG8uTJI0lGNjprmePMx8x16tevb3UOwcHBQW+//bYk6cCBA6pbt67mz5+vPXv2aNOmTfrwww9Vv359ubm5GfMSj6pVq1Zq1aqVpORg/Dp16mjBggXau3ev1q5dq44dO2rYsGEKCAjIkvsBAIDs86jzGrVr15aUHLD/xRdfaP/+/UZsgHl9AAByUurZWPwtFStWTJMmTVKvXr107949ffnll/ryyy8t6nTo0EG9e/e2mSJeSs5Qt2j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kyBHNmTNHMTExGjZsmEqXLq2//OUvNmsZMmSIfvnlFw0YMEC9e/dW6dKldeHCBfn6+jqlVgAAXEHv3r119uxZDR8+XD169FBwcLCOHj2qGTNm6OTJk1q1apXKli2r2bNnW90+OjpaX375pSpUqKDx48crLCxMqamp2rVrV5ZrSUpKUkREhO7fv69p06apVatW8vT01Pfff69p06YpMTFR/fv315YtW9S1a1cFBwfrn//8pxo3bqzU1FR9++23mjNnjuLj4zVkyBCrM+gbjUb16NFDmzZtkiS98MIL6tWrlypXriwPDw/t379fs2bN0oULF9SjRw/t3r1bYWFhWX4vAADAum7duik2NlZjxozRCy+8oJCQEJ04cUJTpkzR8ePHtXHjRi1dulTDhg3LsF1qaqoqV66siIgINWrUSH/605/k5eWl8+fPa+vWrfr000918+ZNRURE6NixYypZsqTDNf3yyy+SpLffflvr169X2bJl9cMPPzj1fQNATtEwlwP16tXTpUuXVKRIEYt17du316hRo9S5c2dt2bJF7777rgYMGCBPT88sH+fUqVMKDg7W3r17M3yR3aRJE3Xp0kVNmzZVQkKCRo0apU6dOj3xZ4AfPnxYO3bsUOPGjc2vhYWFqVq1aurcubPu3Lmjxo0by2g0av/+/apSpYp5XKNGjVS8eHGNHDlSFy5c0KZNmzKd0ebevXsZZqmRJGPqAxm8eNY5ACDv5SQPmKZHv3PnjiIjIzM0zN27d898I/qFF17Qxo0bFRkZaTGjrGmGuVatWlkcf+jQoZo0aZJFNmjQoIG6dOmi0aNHKzw8XJcvX9a0adP0xRdf2HyfZ8+eVdmyZbV371796U9/Mr+ePg+8+uqrSk1Nlbe3t3788Ue1bNnSvK5Ro0bq1q2bwsPDdeTIEZvHSY8MAADAo9lbJalixYravXu3xYy0rVu31siRI/XHH39YbLtlyxZzs9wnn3yiIUOGZFjfsGFDvfjii+rUqZO2bdumMWPGqGPHjjZnvDl69KjFfho0aOCUWh9HDgAAFFTR0dFauXKl+vTpY34tLCxMPXv2VIsWLXTkyBF99NFHGjJkiOrUqWOxfWxsrOrWraudO3dmuNeQnZldbty4YfU+fePGjVW8eHGNGjVK586dU9OmTVW6dGnt3r1bJUqUyHBMLy8vzZw5U/v27dOhQ4dUv379DMf45JNPtGnTJnl7e2vDhg0WPwYMDw9X//791aJFC8XExGjs2LGKioqyWzc5AAAAx5lmkUv/BJoGDRqoffv2qlWrlq5du6YFCxZYNMy9++67qly5ssXjUcPCwtS9e3e9+uqratq0qW7cuKF58+ZpypQpDtdkyjimLOPt7W019zyODAAgN3lkPgS2FC9e3OqX4yY+Pj6aOXOmpEfP5bb3yJLMvPPOO1Znfaldu7b+/ve/S5IuX76s9evXZ/sYjho7dmyGL8dNOnXqpIoVK0p69EF8ypQpGT6EmwwePFh+fn6S5NCv4t5//30FBwdn+HP7p1U5fBcAADhHTvKAp6enmjdvLslyNrl9+/YpJSVFwcHBGjdunCRp586dSktLM4+5fv26jh8/Lsl6w1xoaKjdRvry5cvrjTfekCRt2LDB4jFtj5s+fXqGZrn0oqOjdeDAAUnSsGHDMjTLmZQrV06zZs2ye4z0yAAAAMj8+LQGDRpYNKClFxISYvHa9OnTJUndu3e3aJYz8fPz0/z58yU9yirbt2+3eYw2bdrY3E9Oa30cOQAAUFB17tw5Q7OcSVBQkJYsWSLp0SPTFy1aZHMfH3/8sd17DVlh6z79Sy+9ZL5Pf+PGDX300UcZmuVMRowYYV5+/H6+0WjUjBkzJEljxoyxaJYzKVq0qPneyO7du3Xq1Cm7NZMDAABw3OjRozM0y5mEhISYn3jzyy+/ZHjsuiRVqVLFolkuvbp162ro0KGSpHXr1jmtXnvIAAByEw1zTnTv3j1duHBBsbGxOnbsmI4dO5bhi2dHZ1N5nMFg0MCBA22uHzx4sPlitnXr1mwdIyv++te/2lz39NNPS3pUc+/eva2OKVSokKpVqyZJ+u233zI93oQJE3T79u0Mf4LDe2WjcgAAnrys5gFTo9vBgwd19+5d8+ummeOaN2+upk2bqlChQoqPj9fRo0ctxkiy+oH4cQkJCTp79qxiYmLMtfn7+2dYZ4uPj4969uxpc336DGLvMfQREREO3/QnAwAAIJUpU0bSo8b5M2fOOLxdQkKCuSG/R48edsfWrFlTxYsXlyTt3bvX5rh+/fo9kVqtIQcAAAoqe5+JGzVqpNq1a0uyfS+/QoUKatGihVNqMRgM6tXL+vUz/X36okWLqn3dGeauAAAeLklEQVT79lbHVapUSUFBQZIs7+fHxsaar/mZ5Y30P6yzlzckcgAAAFlh77P6s88+K+lRk7u9+/+SFB8frzNnzmT4/sB0Lz82NlYPHjxwWs22kAEA5CYeyZpDiYmJ+uijj/T1118rJiZGDx8+tDk2Li4uW8eoVKmS+ca1NSVKlFBoaKjOnj1rfh74k1S9enWb60wXzeLFi6to0aKZjrtz506mx/P19ZWvr2+G15h2FQCQn+QkD5ga3VJTUxUVFWX+NbbpC+7WrVvL19dX4eHh2r59uyIjI1WvXr0MY0qUKKFatWpZPd758+f14YcfauPGjTp//rzd9xEXF6fKlStbXVetWjXzL8+tMWUQHx8fPfPMMzbHeXt7q379+nZnrzEhAwAAIA0YMEArVqzQzZs3VadOHXXp0kXt27dXixYtVLVqVZvbHTp0yDwzbZ8+fazOdGONaZY4a0w/knN2rdaQAwAABVXDhg3trm/UqJFiYmJ08uRJ3b9/Xz4+PhnWZ3a9zYrixYvbndnVdJ++atWqdmeYKVKkiO7cuWNxP98007wkNWnSxOG67OUNiRwAAEBW1KhRw+a69DnA2vfyv/zyi2bPnq3NmzfbvT6npaUpPj5eJUuWzFmxmSADAMhNzDCXA+fOnVPdunU1ceJEHT161O6X45KUnJycreM4cuEpVaqUJOmPP/7I1jGywjQTjTUeHh6Zjkk/LrO/MwAA8ruc5oFnn33W/MgyUwPc/fv3zb+2NjXUmf6b/tGtphnmrD2OVZI2b96sWrVqaf78+Zk2y1mrLT17jfDS/2eQkJAQeXp62h1ryi0AACBzbdu21fz581WoUCGlpKTom2++0UsvvaRq1aqpfPnyGj58uNUZ7a9fv56t4yUlJdlcl1keyG6tAAC4kszu55s+ExuNRsXHx1usz+x6mxWO3qfP7v38J5E3AABA1jjy3b1keR1ftmyZGjRooM8++yzTZnYp+70OAJBfMcNcDvTv319nz56VwWDQ4MGD9de//lU1a9ZUiRIl5OPjI4PBoLS0NPOXxukfx5YV9n7ZBQAA8lZO84CXl5eaNWumH374wdwMFx0dreTkZAUHB6t+/fqS/r8pbufOnUpLS9Mff/yh2NjYDOvSi4uLU9++fZWUlKTAwECNHz9e7du3V5UqVRQcHGz+Bfu2bdvUtm1bq7Wll1kTnAm5BQAA5xs5cqR69uyplStXasuWLdq9e7du376ty5cva/HixVqyZIkmTpyo9957z7xN+hvhixcvVtOmTR06lr0v6R3JA9mpFQAAV5LTz8WOfv7OD9LnjY0bNyo0NNSh7Z707DQAAMC+X3/9VcOHD1dqaqpKliypN954Q23atFFoaKiCgoLk7f1oVrdPP/1UQ4YMkZT9XgcAyK9omMumX3/9VVFRUZJk90avM2Z8u3btmsNjHp9ePX3XuOlRLNYkJiZmszoAANyXs/JAq1at9MMPP+jgwYO6e/euuXGuefPm5hvl4eHh8vPzU3x8vI4ePaozZ86YP6CaZp9Lb82aNbp165Ykae3atfrzn/+crdocZfpy/ebNm3r48KHdG/yOZBsAAFyF6XO5vc/kUuafy0uWLKmxY8dq7NixSktL0+HDh7V27VrNnz9ft27d0tSpU9WwYUN16dJFklSsWDHztv7+/qpTp04O34njslorAACu5Nq1a6pQoYLd9dKjxjpnziaXF9LnjSJFiuRq3gAAANm3fPlypaamytPTUzt27LD5WNfceLodAOQVHsmaTTExMebl3r172xx34MCBHB/r7Nmzunnzps31N27c0Llz5yTJ4gNpUFCQedna9O4mJ0+ezFmRAAC4IWflAVPDW2pqqqKiosyPWk3fCOfr66vw8HBJjx7LahpTvHhx1a5d22ZtISEhNpvlHKnNUXXr1pX06HGy9h61lpqaqsOHDzvlmAAAFASmz+WmRnZbsvK53MPDQw0aNNCUKVP0n//8x/z6qlWrzMv16tUzz3Cze/fuLFTsXI7UCgCAK4mOjnZofbVq1cyzvxdUplnxpbzNGwAAIGtM3x8888wzNpvlJOd9fwAA+RENc9mUmppqXrb3K/BFixbl+FhGo1ErVqywuX758uXmGWYe/0I8/RTo9i5oX331Vc6KBADADTkrD4SFhSkgIECStGXLFu3Zs0eS5cxxpv+PjIw0z0LXsmVLq497MdWWkpJic0abpKQkffHFF3Zrc1T6DPL555/bHLd27Vq7TfwAALiaSpUqSZLu3LmjEydOWB1z//59ffvtt9naf4MGDcyz08TFxZlfL1GihLnZfuXKlbpx40a29u9MtmoFAMCV2PtMHB0drWPHjkmyvJdfEDVo0EDly5eXJC1ZskQpKSl5XBEAAHCE6fsDe99r/P7779qwYUNulQQAuY6GuWyqVq2aeXn58uVWxyxcuFDr1693yvGmTJli9cb68ePHNXXqVElSmTJlLB5nUrRoUT399NOSpM8++8zqtKlRUVGaO3euU+oEAMCdOCsPeHt7q2nTppKkZcuWKTExUcHBwRl+qS09enSrJG3bts18g930mq3akpKSrM7g8vDhQw0dOlRXrlyxW5ujGjVqpAYNGkh69J5Nj6pN7/fff9f48eOdcjwAAAqK9NfqWbNmWR3z3//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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Z = lda.transform(X)"
      ],
      "metadata": {
        "id": "vRA4rtaqSH7w"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Pick a random document\n",
        "# Check which \"topics\" are associated with it\n",
        "# Are they related to the true label?\n",
        "\n",
        "np.random.seed(0)\n",
        "i = np.random.choice(len(df))\n",
        "z = Z[i]\n",
        "topics = np.arange(10) + 1\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "ax.barh(topics, z)\n",
        "ax.set_yticks(topics)\n",
        "ax.set_title('True label: %s' % df.iloc[i]['labels']);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 451
        },
        "id": "hD2PjLjHSNCP",
        "outputId": "bd78e123-cf34-4437-dce0-63663cd019dd"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def wrap(x):\n",
        "  return textwrap.fill(x, replace_whitespace=False, fix_sentence_endings=True)\n",
        "\n",
        "print(wrap(df.iloc[i]['text']))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-n9N8mIASPwG",
        "outputId": "178bb176-ffca-4b2c-a0ae-ef150bb4028c"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Charvis set to lose fitness bid\n",
            "\n",
            "Flanker Colin Charvis is unlikely to\n",
            "play any part in Wales' final two games of the Six Nations.\n",
            "\n",
            "Charvis\n",
            "has missed all three of Wales' victories with an ankle injury and his\n",
            "recovery has been slower than expected.  \"He will not figure in the\n",
            "Scotland game and is now thought unlikely to be ready for the final\n",
            "game,\" said Wales physio Mark Davies.  Sonny Parker is continuing to\n",
            "struggle with a neck injury, but Hal Luscombe should be fit for the\n",
            "Murrayfield trip.  Centre Parker has only a \"slim chance\" of being\n",
            "involved against the Scots on 13 March, so Luscombe's return to\n",
            "fitness after missing the France match with hamstring trouble is a\n",
            "timely boost.\n",
            "\n",
            "Said Wales assistant coach Scott Johnson: \"We're\n",
            "positive about Hal and hope he'll be raring to go.  \"He comes back\n",
            "into the mix again, adds to the depth and gives us other options.  \"\n",
            "Replacement hooker Robin McBryde remains a doubt after picking up knee\n",
            "ligament damage in Paris last Saturday.  \"We're getting that reviewed\n",
            "and we should know more by the end of the week how Robin's looking,\"\n",
            "added Johnson.  \"We're hopeful but it's too early to say at this\n",
            "stage.\"  Steve Jones from the Dragons is likely to be drafted in if\n",
            "McBryde fails to recover.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "i = np.random.choice(len(df))\n",
        "z = Z[i]\n",
        "\n",
        "fig, ax = plt.subplots()\n",
        "ax.barh(topics, z)\n",
        "ax.set_yticks(topics)\n",
        "ax.set_title('True label: %s' % df.iloc[i]['labels'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "i1bM7-KcSSY2",
        "outputId": "a2ba6ecc-53d7-4812-c422-a698e3cd2973"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'True label: entertainment')"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(wrap(df.iloc[i]['text']))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3V6POLDyST7M",
        "outputId": "ba6cc1bb-2a95-450f-a3b0-be290c53e57e"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Oscars steer clear of controversy\n",
            "\n",
            "The Oscars nominations list has\n",
            "left out some of the most controversial films of the past year in\n",
            "favour of safer, less contentious cinema.\n",
            "\n",
            "If best film nominees were\n",
            "drawn on the basis of column inches, two of the front-runners would\n",
            "have had to be Michael Moore's Bush-baiting documentary Fahrenheit\n",
            "9/11 and Mel Gibson's The Passion of the Christ.  Both films polarised\n",
            "opinion but had critics talking, and the public turning up to see them\n",
            "- Fahrenheit 9/11 breaking US box office records for a documentary,\n",
            "and The Passion of the Christ making more than US$370m (£196m) in the\n",
            "US alone.  But this year's Academy Awards have shied away from the big\n",
            "name controversies, with The Passion of the Christ - a film accused of\n",
            "being anti-Semitic - receiving nominations only in the 'minor'\n",
            "categories of cinematography, makeup and musical score.\n",
            "\n",
            "Fahrenheit\n",
            "9/11 has also been overlooked, despite winning the Palme d'Or at the\n",
            "Cannes International Film Festival in 2004.\n",
            "\n",
            "Moore's caustic\n",
            "documentary may have been affected by its distributors' decision to\n",
            "enter it in the best picture category, rather than best documentary,\n",
            "says Tim Dams, the news editor of trade magazine Screen International.\n",
            "But he also believes the strong political viewpoint of Moore's film\n",
            "does not sit well with the Academy.  \"If you look at past Oscar\n",
            "winners and nominees, the very conservative Oscar voters tend to go\n",
            "for very conservative, epic-style pictures.  Fahrenheit 9/11 didn't\n",
            "really fit in to that category.  \"They tend to go for films like\n",
            "Titanic, Gladiator, and the Lord of the Rings, films with scale that\n",
            "often aren't too contentious,\" he said.  While he said the Oscar\n",
            "voting panel were not \"snubbing\" Moore's film, he thought it was\n",
            "unlikely a documentary could ever seriously compete in a best film\n",
            "category.  \"I think it's more a misjudgement by the people putting it\n",
            "out rather than a deliberate snub,\" he said.\n",
            "\n",
            "The problem with Mel\n",
            "Gibson's film, he believed, was that the voting panel may have been\n",
            "cautious in nominating a film with dialogue in Aramaic, an ancient\n",
            "Middle Eastern language.\n",
            "\n",
            "\"Hollywood doesn't tend to like foreign-\n",
            "language films - no-one's ever tried doing a film in a dead language,\"\n",
            "he said.  But aside from these two films, some potentially contentious\n",
            "pictures have won nominations.  The German film The Downfall, a biopic\n",
            "tracing the final days of Nazi leader Adolf Hitler in his Berlin\n",
            "bunker, has been recognised in the best foreign film category.  The\n",
            "film has caused some controversy in showing Hitler as a fallible but\n",
            "human man, rather than a semi-mythical, historical monster.  But Mr\n",
            "Dams said: \"It's not an inflammatory film.  It has done very well in\n",
            "Germany, and it's a film that portrays Hitler as a human rather than\n",
            "some kind of devil or monster.\"  Another 'contentious' film, Mr Dams\n",
            "said, has gained a nomination in the best documentary section through\n",
            "the force of its charm.\n",
            "\n",
            "Independent film-maker Morgan Spurlock may\n",
            "have forced fast-food giant McDonalds to withdraw its 'super size'\n",
            "portions in the US after he went on a month-long diet eating nothing\n",
            "but McDonalds meals - and filmed his progress.\n",
            "\n",
            "The film has been a\n",
            "hit around the world.  Mr Dams said: \"It's a political film, but it's\n",
            "quite fun and punky and well-paced.  \"Morgan Spurlock is a really\n",
            "likeable guy.  It's a very accessible film, and it doesn't beat you\n",
            "over the head with its views.  \"While in Fahrenheit 9/11 there are\n",
            "moments of comedy, I think the way that Super Size Me is put together\n",
            "- the fact it's a very likeable film - means it's won through on\n",
            "charm.\"  Dam's pick at this year's Oscars?  The Aviator, Martin\n",
            "Scorsese's biopic of aviation pioneer and Hollywood player Howard\n",
            "Hughes.  Tinseltown, it seems, likes nothing more than a picture about\n",
            "one of its own.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "LypvmJyqSVTa"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}