CS7641_LSA_with_BERT.ipynb

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      "source": [
        "import pandas as pd\n",
        "import glob\n",
        "import os\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "from tqdm import tqdm\n",
        "import matplotlib.pyplot as plt\n",
        "from gensim.parsing.preprocessing import remove_stopwords,strip_punctuation,preprocess_string,strip_short,stem_text\n",
        "from gensim import corpora\n",
        "from gensim.models import LsiModel\n",
        "from gensim.models.coherencemodel import CoherenceModel"
      ]
    },
    {
      "cell_type": "code",
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        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
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          "text": [
            "Mounted at /content/drive\n"
          ]
        }
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        "dirs=[\"2020-11\",\"2020-12\",\"2021-01\",\"2021-02\"]\n",
        "li = []\n",
        "for dir in dirs:\n",
        "  path=\"/content/drive/My Drive/CS7641/raw_roBERTa/\"\n",
        "  path+=dir\n",
        "  all_files = glob.glob(os.path.join(path , \"*.csv\"))\n",
        "  for filename in tqdm(all_files):\n",
        "    df = pd.read_csv(filename, index_col=None, header=0)\n",
        "    li.append(df)"
      ],
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            "100%|██████████| 720/720 [00:13<00:00, 54.20it/s] \n",
            "100%|██████████| 743/743 [00:14<00:00, 49.88it/s] \n",
            "100%|██████████| 743/743 [00:18<00:00, 39.71it/s] \n",
            "100%|██████████| 672/672 [00:11<00:00, 57.61it/s] \n"
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        "data_first_wave = pd.concat(li, axis=0, ignore_index=True)\n",
        "data_first_wave.head()"
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              "   Unnamed: 0                 created_at  \\\n",
              "0           0  2020-11-02 02:59:54+00:00   \n",
              "1           1  2020-11-02 02:59:54+00:00   \n",
              "2           2  2020-11-02 02:59:54+00:00   \n",
              "3           3  2020-11-02 02:59:55+00:00   \n",
              "4           4  2020-11-02 02:59:55+00:00   \n",
              "\n",
              "                                           full_text  \\\n",
              "0  RT positive cues for today \\nRIL improvement i...   \n",
              "1  RT My colleagues and I will continue to engage...   \n",
              "2  RT This is rally roulette. Check out this vide...   \n",
              "3  cont- analytic jobs and AI can do most of that...   \n",
              "4  RT Danny, we've never met. I know one thing th...   \n",
              "\n",
              "                                     sentiment_score  \n",
              "0  [{'label': 'Positive', 'score': 0.893498122692...  \n",
              "1  [{'label': 'Positive', 'score': 0.631185948848...  \n",
              "2  [{'label': 'Neutral', 'score': 0.8711994886398...  \n",
              "3  [{'label': 'Negative', 'score': 0.653407394886...  \n",
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              "      <td>RT positive cues for today \\nRIL improvement i...</td>\n",
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              "      <td>1</td>\n",
              "      <td>2020-11-02 02:59:54+00:00</td>\n",
              "      <td>RT My colleagues and I will continue to engage...</td>\n",
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              "      <th>2</th>\n",
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              "      <td>2020-11-02 02:59:54+00:00</td>\n",
              "      <td>RT This is rally roulette. Check out this vide...</td>\n",
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              "      <td>RT Danny, we've never met. I know one thing th...</td>\n",
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        "dirs=[\"2021-12\",\"2022-01\"]\n",
        "li = []\n",
        "for dir in dirs:\n",
        "  path=\"/content/drive/My Drive/CS7641/raw_roBERTa/\"\n",
        "  path+=dir\n",
        "  all_files = glob.glob(os.path.join(path , \"*.csv\"))\n",
        "  for filename in tqdm(all_files):\n",
        "    df = pd.read_csv(filename, index_col=None, header=0)\n",
        "    li.append(df)"
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            "100%|██████████| 744/744 [00:14<00:00, 51.59it/s] \n",
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        "data_second_wave = pd.concat(li, axis=0, ignore_index=True)\n",
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              "        Unnamed: 0                 created_at  \\\n",
              "227628         166  2022-01-08 03:00:01+00:00   \n",
              "227629         167  2022-01-08 03:00:01+00:00   \n",
              "227630         168  2022-01-08 03:00:01+00:00   \n",
              "227631         169  2022-01-08 03:00:01+00:00   \n",
              "227632         170  2022-01-08 03:00:01+00:00   \n",
              "\n",
              "                                                full_text  \\\n",
              "227628  We will surely break a million cases in one da...   \n",
              "227629  RT Having not gotten covid yet feels like I've...   \n",
              "227630  RT Because, nearly three years into a pandemic...   \n",
              "227631  RT This isn't complicated \\nPromote vaccines &...   \n",
              "227632  RT Having not gotten covid yet feels like I've...   \n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_first_wave=data_first_wave.drop('Unnamed: 0',axis=1)\n",
        "data_second_wave=data_second_wave.drop('Unnamed: 0',axis=1)"
      ],
      "metadata": {
        "id": "k1FrF6LfbelL"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(data_first_wave.shape)\n",
        "data_first_wave = data_first_wave[data_first_wave['full_text'].notna()]\n",
        "data_first_wave.shape"
      ],
      "metadata": {
        "id": "F_w-tVeHewSw",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "08e1a515-747d-4e98-88a2-b00c70579a4c"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(433073, 3)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(433068, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(data_second_wave.shape)\n",
        "data_second_wave = data_second_wave[data_second_wave['full_text'].notna()]\n",
        "data_second_wave.shape"
      ],
      "metadata": {
        "id": "bHNVSu3sbNYu",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f4f889bd-bc64-4009-8a8b-aee454abe911"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(227633, 3)\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(227631, 3)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def preprocess(text):\n",
        "    CUSTOM_FILTERS = [lambda x: x.lower(), \n",
        "                                remove_stopwords, \n",
        "                                strip_punctuation, \n",
        "                                strip_short]\n",
        "    text = preprocess_string(text, CUSTOM_FILTERS)\n",
        "    \n",
        "    return text\n",
        " \n",
        "data_first_wave['clean_text'] = data_first_wave['full_text'].apply(lambda x: preprocess(x))\n",
        "data_second_wave['clean_text'] = data_second_wave['full_text'].apply(lambda x: preprocess(x))"
      ],
      "metadata": {
        "id": "7BwlO4VgcCyD"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "corpus_first_wave = data_first_wave['clean_text']\n",
        "lexicon_first_wave = corpora.Dictionary(corpus_first_wave)\n",
        "bow_first_wave = [lexicon_first_wave.doc2bow(text) for text in corpus_first_wave]\n",
        "\n",
        "corpus_second_wave = data_second_wave['clean_text']\n",
        "lexicon_second_wave = corpora.Dictionary(corpus_second_wave)\n",
        "bow_second_wave = [lexicon_second_wave.doc2bow(text) for text in corpus_second_wave]"
      ],
      "metadata": {
        "id": "ChlRdAaPDvI7"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(2,11):\n",
        "    lsi_first_wave = LsiModel(bow_first_wave, num_topics=i, id2word=lexicon_first_wave)\n",
        "    coherence_model_first_wave = CoherenceModel(model=lsi_first_wave, texts=data_first_wave['clean_text'], dictionary=lexicon_first_wave, coherence='u_mass')\n",
        "    coherence_score_first_wave = coherence_model_first_wave.get_coherence()\n",
        "    print('Coherence score with {} clusters: {}'.format(i, coherence_score_first_wave))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "znInqsT7EBr3",
        "outputId": "2901156f-f30e-43fe-c3fa-473ecee83e67"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Coherence score with 2 clusters: -3.2870343465073013\n",
            "Coherence score with 3 clusters: -3.434559004795244\n",
            "Coherence score with 4 clusters: -3.796148193719552\n",
            "Coherence score with 5 clusters: -3.942289969278746\n",
            "Coherence score with 6 clusters: -3.9309197257788746\n",
            "Coherence score with 7 clusters: -4.1261573249860595\n",
            "Coherence score with 8 clusters: -4.041844856716406\n",
            "Coherence score with 9 clusters: -4.021777730433535\n",
            "Coherence score with 10 clusters: -4.146846550169606\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "lsi_first_wave = LsiModel(bow_first_wave, num_topics=7, id2word=lexicon_first_wave)"
      ],
      "metadata": {
        "id": "WRKAnZKvMIDr"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "text_first_wave=\"\"\n",
        "for topic_num, words in lsi_first_wave.print_topics(num_words=5):\n",
        "    t_list=words.split(\"+\")\n",
        "    t_list=[t[t.index('\"')+1:t.rfind('\"')] for t in t_list]\n",
        "    if \"https\" in t_list:\n",
        "      t_list.remove('https')\n",
        "    text_first_wave+=\" \".join(t_list)\n",
        "    text_first_wave+=\" \"\n",
        "    print('Words in Topic {}: {}.'.format(topic_num, words))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NP1-qsIOEMsc",
        "outputId": "31f805a5-6728-4ba2-f837-a16f72147383"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Words in Topic 0: 0.912*\"covid\" + 0.143*\"https\" + 0.116*\"vaccine\" + 0.111*\"people\" + 0.107*\"pandemic\".\n",
            "Words in Topic 1: 0.756*\"pandemic\" + -0.304*\"covid\" + 0.257*\"https\" + 0.208*\"covid19\" + 0.188*\"people\".\n",
            "Words in Topic 2: -0.553*\"pandemic\" + 0.387*\"covid19\" + 0.332*\"https\" + 0.279*\"new\" + 0.279*\"coronavirus\".\n",
            "Words in Topic 3: 0.543*\"amp\" + 0.510*\"people\" + -0.319*\"https\" + -0.224*\"cases\" + -0.220*\"new\".\n",
            "Words in Topic 4: -0.666*\"people\" + 0.638*\"amp\" + -0.157*\"coronavirus\" + 0.132*\"covid19\" + -0.118*\"cases\".\n",
            "Words in Topic 5: -0.559*\"https\" + 0.407*\"cases\" + -0.307*\"vaccine\" + 0.279*\"new\" + 0.241*\"deaths\".\n",
            "Words in Topic 6: 0.630*\"lockdown\" + -0.560*\"vaccine\" + 0.317*\"https\" + -0.297*\"covid19\" + -0.157*\"coronavirus\".\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "coherence_model_first_wave = CoherenceModel(model=lsi_first_wave, texts=data_first_wave['clean_text'], dictionary=lexicon_first_wave, coherence='u_mass')\n",
        "coherence_score_first_wave = coherence_model_first_wave.get_coherence()\n",
        "print('UMass Coherence score with {} clusters: {}'.format(7, coherence_score_first_wave))\n",
        "\n",
        "coherence_model_first_wave = CoherenceModel(model=lsi_first_wave, texts=data_first_wave['clean_text'], dictionary=lexicon_first_wave, coherence='c_v')\n",
        "coherence_score_first_wave = coherence_model_first_wave.get_coherence()\n",
        "print('CV Coherence score with {} clusters: {}'.format(7, coherence_score_first_wave))\n",
        "\n",
        "coherence_model_first_wave = CoherenceModel(model=lsi_first_wave, texts=data_first_wave['clean_text'], dictionary=lexicon_first_wave, coherence='c_uci')\n",
        "coherence_score_first_wave = coherence_model_first_wave.get_coherence()\n",
        "print('UCI Coherence score with {} clusters: {}'.format(7, coherence_score_first_wave))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nLxIEJC9QNGB",
        "outputId": "6eca24c6-8693-4df2-a0a3-a3bf213e653e"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "UMass Coherence score with 7 clusters: -4.128453702988826\n",
            "CV Coherence score with 7 clusters: 0.346167002032519\n",
            "UCI Coherence score with 7 clusters: -0.980536487713432\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from wordcloud import WordCloud\n",
        "wordcloud = WordCloud(width = 800, height = 800,background_color ='white',min_font_size = 10).generate(text_first_wave)\n",
        "plt.figure(figsize = (8, 8), facecolor = None)\n",
        "plt.imshow(wordcloud)\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "FmEIRfEtFpuV",
        "outputId": "403c831f-0eba-4b11-d003-8ef342684e46"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "for i in range(2,11):\n",
        "    lsi_second_wave = LsiModel(bow_second_wave, num_topics=i, id2word=lexicon_second_wave)\n",
        "    coherence_model_second_wave = CoherenceModel(model=lsi_second_wave, texts=data_second_wave['clean_text'], dictionary=lexicon_second_wave, coherence='u_mass')\n",
        "    coherence_score_second_wave = coherence_model_second_wave.get_coherence()\n",
        "    print('Coherence score with {} clusters: {}'.format(i, coherence_score_second_wave))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4opx3ngUTKPM",
        "outputId": "3126806f-2622-4a10-f4fe-a18a285e72a5"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Coherence score with 2 clusters: -3.3472324853347706\n",
            "Coherence score with 3 clusters: -3.83131430150859\n",
            "Coherence score with 4 clusters: -3.6689716603777023\n",
            "Coherence score with 5 clusters: -3.670585707475999\n",
            "Coherence score with 6 clusters: -4.069665043721224\n",
            "Coherence score with 7 clusters: -3.652333119135299\n",
            "Coherence score with 8 clusters: -3.975539852197712\n",
            "Coherence score with 9 clusters: -3.935631932823048\n",
            "Coherence score with 10 clusters: -3.960455108861005\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "lsi_second_wave = LsiModel(bow_second_wave, num_topics=6, id2word=lexicon_second_wave)"
      ],
      "metadata": {
        "id": "3OBWbnseNUKD"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "text_second_wave=\"\"\n",
        "for topic_num, words in lsi_second_wave.print_topics(num_words=5):\n",
        "    t_list=words.split(\"+\")\n",
        "    t_list=[t[t.index('\"')+1:t.rfind('\"')] for t in t_list]\n",
        "    if \"https\" in t_list:\n",
        "      t_list.remove('https')\n",
        "    text_second_wave+=\" \".join(t_list)\n",
        "    text_second_wave+=\" \"\n",
        "    print('Words in {}: {}.'.format(topic_num, words))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "39CpgoinTVrz",
        "outputId": "335c7f7f-7041-41df-b9d5-3ec674a81f7c"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Words in 0: 0.924*\"covid\" + 0.117*\"https\" + 0.115*\"people\" + 0.100*\"vaccine\" + 0.087*\"new\".\n",
            "Words in 1: 0.525*\"vaccine\" + 0.364*\"omicron\" + -0.320*\"covid\" + 0.292*\"pandemic\" + 0.291*\"https\".\n",
            "Words in 2: 0.747*\"vaccine\" + -0.345*\"omicron\" + -0.285*\"pandemic\" + -0.251*\"https\" + -0.236*\"new\".\n",
            "Words in 3: 0.606*\"pandemic\" + 0.471*\"people\" + -0.411*\"omicron\" + -0.201*\"cases\" + -0.188*\"new\".\n",
            "Words in 4: -0.686*\"people\" + 0.419*\"pandemic\" + 0.365*\"https\" + -0.358*\"omicron\" + 0.167*\"vaccine\".\n",
            "Words in 5: 0.617*\"new\" + -0.444*\"omicron\" + 0.379*\"cases\" + -0.373*\"amp\" + 0.233*\"people\".\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "coherence_model_second_wave = CoherenceModel(model=lsi_second_wave, texts=data_second_wave['clean_text'], dictionary=lexicon_second_wave, coherence='u_mass')\n",
        "coherence_score_second_wave = coherence_model_second_wave.get_coherence()\n",
        "print('UMass Coherence score with {} clusters: {}'.format(6, coherence_score_second_wave))\n",
        "\n",
        "coherence_model_second_wave = CoherenceModel(model=lsi_second_wave, texts=data_second_wave['clean_text'], dictionary=lexicon_second_wave, coherence='c_v')\n",
        "coherence_score_second_wave = coherence_model_second_wave.get_coherence()\n",
        "print('CV Coherence score with {} clusters: {}'.format(6, coherence_score_second_wave))\n",
        "\n",
        "coherence_model_second_wave = CoherenceModel(model=lsi_second_wave, texts=data_second_wave['clean_text'], dictionary=lexicon_second_wave, coherence='c_uci')\n",
        "coherence_score_second_wave = coherence_model_second_wave.get_coherence()\n",
        "print('UCI Coherence score with {} clusters: {}'.format(6, coherence_score_second_wave))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VOqpjhD9RsTG",
        "outputId": "08db844a-56ad-4715-a6b6-b7c46c2d6d77"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "UMass Coherence score with 6 clusters: -4.054893606606916\n",
            "CV Coherence score with 6 clusters: 0.28256268581541744\n",
            "UCI Coherence score with 6 clusters: -0.4512431051477839\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from wordcloud import WordCloud\n",
        "wordcloud = WordCloud(width = 800, height = 800,background_color ='white',min_font_size = 10).generate(text_second_wave)\n",
        "plt.figure(figsize = (8, 8), facecolor = None)\n",
        "plt.imshow(wordcloud)\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "id": "-CtGsICg-taC",
        "outputId": "14d055dc-5308-4e7e-87ad-b04723affb74"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}