{
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  {
   "cell_type": "markdown",
   "id": "3c5dfca2",
   "metadata": {
    "papermill": {
     "duration": 0.0108,
     "end_time": "2023-05-02T09:00:46.805433",
     "exception": false,
     "start_time": "2023-05-02T09:00:46.794633",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Exploratory Data Analysis for Jigsaw Miltilingual Toxic Comment Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2a536ac1",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
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     "iopub.status.busy": "2023-05-02T09:00:46.825207Z",
     "iopub.status.idle": "2023-05-02T09:00:48.359659Z",
     "shell.execute_reply": "2023-05-02T09:00:48.358529Z"
    },
    "papermill": {
     "duration": 1.547699,
     "end_time": "2023-05-02T09:00:48.362424",
     "exception": false,
     "start_time": "2023-05-02T09:00:46.814725",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Import the Libraries\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import random\n",
    "import re\n",
    "import string\n",
    "import nltk\n",
    "from nltk import FreqDist\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from collections import Counter\n",
    "from textblob import TextBlob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "616896f4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:00:48.385648Z",
     "iopub.status.busy": "2023-05-02T09:00:48.385290Z",
     "iopub.status.idle": "2023-05-02T09:00:48.483219Z",
     "shell.execute_reply": "2023-05-02T09:00:48.481238Z"
    },
    "papermill": {
     "duration": 0.112844,
     "end_time": "2023-05-02T09:00:48.487024",
     "exception": false,
     "start_time": "2023-05-02T09:00:48.374180",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package vader_lexicon to\n",
      "[nltk_data]     /usr/share/nltk_data...\n",
      "[nltk_data]   Package vader_lexicon is already up-to-date!\n",
      "[nltk_data] Downloading package stopwords to /usr/share/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to /usr/share/nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.7/site-packages/nltk/twitter/__init__.py:20: UserWarning: The twython library has not been installed. Some functionality from the twitter package will not be available.\n",
      "  warnings.warn(\"The twython library has not been installed. \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nltk.download('vader_lexicon')\n",
    "from nltk.sentiment import SentimentIntensityAnalyzer\n",
    "\n",
    "nltk.download('stopwords')\n",
    "nltk.download('wordnet')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d593182",
   "metadata": {
    "papermill": {
     "duration": 0.009049,
     "end_time": "2023-05-02T09:00:48.505618",
     "exception": false,
     "start_time": "2023-05-02T09:00:48.496569",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Load the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7c52e882",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:00:48.525521Z",
     "iopub.status.busy": "2023-05-02T09:00:48.525178Z",
     "iopub.status.idle": "2023-05-02T09:02:27.840800Z",
     "shell.execute_reply": "2023-05-02T09:02:27.839765Z"
    },
    "papermill": {
     "duration": 99.338061,
     "end_time": "2023-05-02T09:02:27.852939",
     "exception": false,
     "start_time": "2023-05-02T09:00:48.514878",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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       "                 id                                       comment_text  toxic  \\\n",
       "0  0000997932d777bf  Explanation\\nWhy the edits made under my usern...      0   \n",
       "1  000103f0d9cfb60f  D'aww! He matches this background colour I'm s...      0   \n",
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       "4  0001d958c54c6e35  You, sir, are my hero. Any chance you remember...      0   \n",
       "\n",
       "   severe_toxic  obscene  threat  insult  identity_hate  \\\n",
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       "4             0        0       0       0              0   \n",
       "\n",
       "                                      input_word_ids  \\\n",
       "0  (101, 27746, 31609, 11809, 24781, 10105, 70971...   \n",
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     "metadata": {},
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    }
   ],
   "source": [
    "# Read all train .csv files\n",
    "toxic_comment_processed_seqlen = pd.read_csv('/kaggle/input/jigsaw-multilingual-toxic-comment-classification/jigsaw-toxic-comment-train-processed-seqlen128.csv')\n",
    "toxic_comment = pd.read_csv('/kaggle/input/jigsaw-multilingual-toxic-comment-classification/jigsaw-toxic-comment-train.csv')\n",
    "unintended_bias_preprocessed = pd.read_csv('/kaggle/input/jigsaw-multilingual-toxic-comment-classification/jigsaw-unintended-bias-train-processed-seqlen128.csv')\n",
    "unintended_bias = pd.read_csv('/kaggle/input/jigsaw-multilingual-toxic-comment-classification/jigsaw-unintended-bias-train.csv')\n",
    "\n",
    "toxic_comment_processed_seqlen.head()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
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    "toxic_comment.head()"
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       "      <td>59856</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>47</td>\n",
       "      <td>(101, 10228, 10921, 13028, 75980, 12682, 10301...</td>\n",
       "      <td>(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...</td>\n",
       "      <td>(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      id                                       comment_text     toxic  \\\n",
       "0  59848  This is so cool. It's like, 'would you want yo...  0.000000   \n",
       "1  59849  Thank you!! This would make my life a lot less...  0.000000   \n",
       "2  59852  This is such an urgent design problem; kudos t...  0.000000   \n",
       "3  59855  Is this something I'll be able to install on m...  0.000000   \n",
       "4  59856               haha you guys are a bunch of losers.  0.893617   \n",
       "\n",
       "   severe_toxicity  obscene  identity_attack   insult  threat  asian  atheist  \\\n",
       "0         0.000000      0.0         0.000000  0.00000     0.0    NaN      NaN   \n",
       "1         0.000000      0.0         0.000000  0.00000     0.0    NaN      NaN   \n",
       "2         0.000000      0.0         0.000000  0.00000     0.0    NaN      NaN   \n",
       "3         0.000000      0.0         0.000000  0.00000     0.0    NaN      NaN   \n",
       "4         0.021277      0.0         0.021277  0.87234     0.0    0.0      0.0   \n",
       "\n",
       "   ...  wow  sad  likes  disagree  sexual_explicit  identity_annotator_count  \\\n",
       "0  ...    0    0      0         0              0.0                         0   \n",
       "1  ...    0    0      0         0              0.0                         0   \n",
       "2  ...    0    0      0         0              0.0                         0   \n",
       "3  ...    0    0      0         0              0.0                         0   \n",
       "4  ...    0    0      1         0              0.0                         4   \n",
       "\n",
       "   toxicity_annotator_count  \\\n",
       "0                         4   \n",
       "1                         4   \n",
       "2                         4   \n",
       "3                         4   \n",
       "4                        47   \n",
       "\n",
       "                                      input_word_ids  \\\n",
       "0  (101, 10747, 10124, 10380, 67420, 119, 10377, ...   \n",
       "1  (101, 91327, 13028, 106, 106, 10747, 10894, 13...   \n",
       "2  (101, 10747, 10124, 11049, 10151, 10399, 22500...   \n",
       "3  (101, 12034, 10531, 26133, 146, 112, 22469, 10...   \n",
       "4  (101, 10228, 10921, 13028, 75980, 12682, 10301...   \n",
       "\n",
       "                                          input_mask  \\\n",
       "0  (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...   \n",
       "1  (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...   \n",
       "2  (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...   \n",
       "3  (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...   \n",
       "4  (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...   \n",
       "\n",
       "                                      all_segment_id  \n",
       "0  (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
       "1  (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
       "2  (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
       "3  (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
       "4  (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, ...  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unintended_bias_preprocessed.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "df29037f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:27.962654Z",
     "iopub.status.busy": "2023-05-02T09:02:27.962360Z",
     "iopub.status.idle": "2023-05-02T09:02:27.985754Z",
     "shell.execute_reply": "2023-05-02T09:02:27.984582Z"
    },
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     "duration": 0.037059,
     "end_time": "2023-05-02T09:02:27.988493",
     "exception": false,
     "start_time": "2023-05-02T09:02:27.951434",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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      ],
      "text/plain": [
       "      id                                       comment_text     toxic  \\\n",
       "0  59848  This is so cool. It's like, 'would you want yo...  0.000000   \n",
       "1  59849  Thank you!! This would make my life a lot less...  0.000000   \n",
       "2  59852  This is such an urgent design problem; kudos t...  0.000000   \n",
       "3  59855  Is this something I'll be able to install on m...  0.000000   \n",
       "4  59856               haha you guys are a bunch of losers.  0.893617   \n",
       "\n",
       "   severe_toxicity  obscene  identity_attack   insult  threat  asian  atheist  \\\n",
       "0         0.000000      0.0         0.000000  0.00000     0.0    NaN      NaN   \n",
       "1         0.000000      0.0         0.000000  0.00000     0.0    NaN      NaN   \n",
       "2         0.000000      0.0         0.000000  0.00000     0.0    NaN      NaN   \n",
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       "4         0.021277      0.0         0.021277  0.87234     0.0    0.0      0.0   \n",
       "\n",
       "   ...  article_id    rating  funny  wow  sad  likes  disagree  \\\n",
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       "3  ...        2006  rejected      0    0    0      0         0   \n",
       "4  ...        2006  rejected      0    0    0      1         0   \n",
       "\n",
       "   sexual_explicit  identity_annotator_count  toxicity_annotator_count  \n",
       "0              0.0                         0                         4  \n",
       "1              0.0                         0                         4  \n",
       "2              0.0                         0                         4  \n",
       "3              0.0                         0                         4  \n",
       "4              0.0                         4                        47  \n",
       "\n",
       "[5 rows x 45 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unintended_bias.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a8404dfd",
   "metadata": {
    "papermill": {
     "duration": 0.010669,
     "end_time": "2023-05-02T09:02:28.010656",
     "exception": false,
     "start_time": "2023-05-02T09:02:27.999987",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "To understand these datasets better, we should start by exploring the distribution of toxicity levels and their subcategories. Analyze the comment text to identify patterns or specific words that might be indicative of toxic behavior. We can also investigate the relationships between different subcategories to identify possible correlations. Ultimately, we will use this data to train a machine learning model that can accurately predict the toxicity level of unseen comments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5b6dfddc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:28.032918Z",
     "iopub.status.busy": "2023-05-02T09:02:28.032522Z",
     "iopub.status.idle": "2023-05-02T09:02:28.061342Z",
     "shell.execute_reply": "2023-05-02T09:02:28.060321Z"
    },
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     "end_time": "2023-05-02T09:02:28.063506",
     "exception": false,
     "start_time": "2023-05-02T09:02:28.021245",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Calculate the percentage of toxic comments in both datasets\n",
    "toxic_percentage = toxic_comment['toxic'].value_counts(normalize=True) * 100\n",
    "unintended_bias_toxic_percentage = (unintended_bias['toxic'] > 0.5).value_counts(normalize=True) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "24df6efa",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:28.085901Z",
     "iopub.status.busy": "2023-05-02T09:02:28.085567Z",
     "iopub.status.idle": "2023-05-02T09:02:28.091375Z",
     "shell.execute_reply": "2023-05-02T09:02:28.090160Z"
    },
    "papermill": {
     "duration": 0.021019,
     "end_time": "2023-05-02T09:02:28.095202",
     "exception": false,
     "start_time": "2023-05-02T09:02:28.074183",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    90.434312\n",
      "1     9.565688\n",
      "Name: toxic, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Let us print the result to see the disrtribution\n",
    "print(toxic_percentage)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a35c85f7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:28.117838Z",
     "iopub.status.busy": "2023-05-02T09:02:28.116799Z",
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     "shell.execute_reply": "2023-05-02T09:02:28.122249Z"
    },
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     "duration": 0.021512,
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     "exception": false,
     "start_time": "2023-05-02T09:02:28.105386",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False    94.100181\n",
      "True      5.899819\n",
      "Name: toxic, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(unintended_bias_toxic_percentage)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22f2f5a9",
   "metadata": {
    "papermill": {
     "duration": 0.011341,
     "end_time": "2023-05-02T09:02:28.149306",
     "exception": false,
     "start_time": "2023-05-02T09:02:28.137965",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now, we want to plot the distribution of toxic comments in both datasets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2a92c6a6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:28.171730Z",
     "iopub.status.busy": "2023-05-02T09:02:28.171406Z",
     "iopub.status.idle": "2023-05-02T09:02:28.604889Z",
     "shell.execute_reply": "2023-05-02T09:02:28.603840Z"
    },
    "papermill": {
     "duration": 0.447259,
     "end_time": "2023-05-02T09:02:28.607166",
     "exception": false,
     "start_time": "2023-05-02T09:02:28.159907",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1600x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of toxic comments in both datasets\n",
    "plt.figure(figsize=(16, 5))\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "toxic_percentage.plot(kind='bar', color=['blue', 'orange'])\n",
    "plt.title('Toxic Comment Distribution (jigsaw-toxic-comment-train.csv)')\n",
    "plt.xlabel('Toxic')\n",
    "plt.ylabel('Percentage')\n",
    "plt.xticks([0, 1], ['Non-toxic', 'Toxic'], rotation=0)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "unintended_bias_toxic_percentage.plot(kind='bar', color=['blue', 'orange'])\n",
    "plt.title('Toxic Comment Distribution (jigsaw-unintended-bias-train.csv)')\n",
    "plt.xlabel('Toxic')\n",
    "plt.ylabel('Percentage')\n",
    "plt.xticks([0, 1], ['Non-toxic', 'Toxic'], rotation=0)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44a5397c",
   "metadata": {
    "papermill": {
     "duration": 0.01071,
     "end_time": "2023-05-02T09:02:28.629071",
     "exception": false,
     "start_time": "2023-05-02T09:02:28.618361",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Text Length Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c175e80b",
   "metadata": {
    "papermill": {
     "duration": 0.010506,
     "end_time": "2023-05-02T09:02:28.650491",
     "exception": false,
     "start_time": "2023-05-02T09:02:28.639985",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now, this analysis might sounds like strange, but we do might get an insight for analysing the length of the text. For example, by comparing the distribution of text lengths for toxic and non-toxic comments, we may find that toxic comments tend to be shorter or longer than non-toxic comments. Such patterns can be informative when building your model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "275edc8c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:28.674270Z",
     "iopub.status.busy": "2023-05-02T09:02:28.673210Z",
     "iopub.status.idle": "2023-05-02T09:02:29.593352Z",
     "shell.execute_reply": "2023-05-02T09:02:29.592280Z"
    },
    "papermill": {
     "duration": 0.934826,
     "end_time": "2023-05-02T09:02:29.596010",
     "exception": false,
     "start_time": "2023-05-02T09:02:28.661184",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Calculate comment length in characters\n",
    "toxic_comment['char_length'] = toxic_comment['comment_text'].apply(len)\n",
    "\n",
    "# Calculate comment length in words\n",
    "toxic_comment['word_length'] = toxic_comment['comment_text'].apply(lambda x: len(x.split()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cdcde99c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:29.620053Z",
     "iopub.status.busy": "2023-05-02T09:02:29.619696Z",
     "iopub.status.idle": "2023-05-02T09:02:30.426611Z",
     "shell.execute_reply": "2023-05-02T09:02:30.425627Z"
    },
    "papermill": {
     "duration": 0.821514,
     "end_time": "2023-05-02T09:02:30.428898",
     "exception": false,
     "start_time": "2023-05-02T09:02:29.607384",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot character length distribution\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=toxic_comment, x='char_length', hue='toxic', bins=100, common_norm=False)\n",
    "plt.title('Character Length Distribution by Toxicity')\n",
    "plt.xlabel('Character Length')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "5039aa2c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:30.454093Z",
     "iopub.status.busy": "2023-05-02T09:02:30.453268Z",
     "iopub.status.idle": "2023-05-02T09:02:31.135765Z",
     "shell.execute_reply": "2023-05-02T09:02:31.134787Z"
    },
    "papermill": {
     "duration": 0.697323,
     "end_time": "2023-05-02T09:02:31.137845",
     "exception": false,
     "start_time": "2023-05-02T09:02:30.440522",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot word length distribution\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=toxic_comment, x='word_length', hue='toxic', bins=100, common_norm=False)\n",
    "plt.title('Word Length Distribution by Toxicity')\n",
    "plt.xlabel('Word Length')\n",
    "plt.ylabel('Frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8dcc8392",
   "metadata": {
    "papermill": {
     "duration": 0.011562,
     "end_time": "2023-05-02T09:02:31.161709",
     "exception": false,
     "start_time": "2023-05-02T09:02:31.150147",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The distribution itself seems like it's more right-skewed for both toxic and non-toxic comment. But, there are some outliers as well, which kinda looks like the outliers is for the non-toxic comment. Does this mean anything? Well, maybe, since we can make an assumption if the toxic comment tends to be shorter than the non toxic comments, but we can't really depends on that since the non toxic comment also has right skewed distribution.\n",
    "\n",
    "The question that I want to ask is, are we interested with words with more length? To answer it, let's visualize the distribution once more, but we will only see from **> 2000 word length**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "895c4fe2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:31.186664Z",
     "iopub.status.busy": "2023-05-02T09:02:31.186300Z",
     "iopub.status.idle": "2023-05-02T09:02:31.192429Z",
     "shell.execute_reply": "2023-05-02T09:02:31.191471Z"
    },
    "papermill": {
     "duration": 0.02123,
     "end_time": "2023-05-02T09:02:31.194553",
     "exception": false,
     "start_time": "2023-05-02T09:02:31.173323",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create a new column 'is_toxic' to identify toxic and non-toxic comments\n",
    "toxic_comment['is_toxic'] = toxic_comment['toxic'] == 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2f79b4ac",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:31.220262Z",
     "iopub.status.busy": "2023-05-02T09:02:31.219225Z",
     "iopub.status.idle": "2023-05-02T09:02:31.723905Z",
     "shell.execute_reply": "2023-05-02T09:02:31.722835Z"
    },
    "papermill": {
     "duration": 0.519951,
     "end_time": "2023-05-02T09:02:31.726253",
     "exception": false,
     "start_time": "2023-05-02T09:02:31.206302",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of character length for toxic and non-toxic comments (from 2000 characters)\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=toxic_comment[toxic_comment['char_length'] > 2000], x='char_length', hue='is_toxic', bins=50, kde=True)\n",
    "plt.title('Distribution of Character Length for Toxic and Non-Toxic Comments (from 2000 characters)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e30fccbd",
   "metadata": {
    "papermill": {
     "duration": 0.012333,
     "end_time": "2023-05-02T09:02:31.751228",
     "exception": false,
     "start_time": "2023-05-02T09:02:31.738895",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now, this is interesting. See how in every bins except the last one the majority of comments are non-toxic? But then, all of a sudden, the toxic comments become majority in the last bins (around 5000, more or less). Before we continue our discussion, let's also plot the distribution for the word length."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "8de69b10",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:31.777619Z",
     "iopub.status.busy": "2023-05-02T09:02:31.777262Z",
     "iopub.status.idle": "2023-05-02T09:02:32.233919Z",
     "shell.execute_reply": "2023-05-02T09:02:32.232853Z"
    },
    "papermill": {
     "duration": 0.472815,
     "end_time": "2023-05-02T09:02:32.236364",
     "exception": false,
     "start_time": "2023-05-02T09:02:31.763549",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of word length for toxic and non-toxic comments (From 900 words)\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.histplot(data=toxic_comment[toxic_comment['word_length'] > 900], x='word_length', hue='is_toxic', bins=50, kde=True)\n",
    "plt.title('Distribution of Word Length for Toxic and Non-Toxic Comments (from 900 words)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c938839",
   "metadata": {
    "papermill": {
     "duration": 0.013047,
     "end_time": "2023-05-02T09:02:32.262670",
     "exception": false,
     "start_time": "2023-05-02T09:02:32.249623",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Based on our observation, it appears that although non-toxic comments generally have a higher frequency across most bins, there is a higher proportion of toxic comments in the last bin (around 5000 words or more). This could suggest that extremely lengthy comments have a higher likelihood of containing toxic content.\n",
    "\n",
    "Here are some possible explanations for this observation:\n",
    "1. Trolls and spammers: Users who deliberately post offensive or provocative content may also be more likely to create excessively long comments to gain attention or disrupt the conversation.\n",
    "2. Venting and ranting: Users who are expressing strong negative emotions might write more at length to describe their feelings, experiences, or thoughts. These longer comments could potentially contain toxic language as a result.\n",
    "3. Heated debates or arguments: Long comments might emerge from extended back-and-forth discussions where users passionately argue their points. In these situations, emotions can run high, and the language used may become toxic.\n",
    "\n",
    "However, it's essential to note that this observation alone does not necessarily imply causality, and further analysis would be needed to determine any significant relationship between comment length and toxicity. For instance, you could investigate correlations between comment length and toxicity or analyze the content of these lengthy comments to gain a deeper understanding of the context in which they appear.\n",
    "\n",
    "Now, to see our answer, let's just print the toxic comment that has many words."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56f0a2b6",
   "metadata": {
    "papermill": {
     "duration": 0.012802,
     "end_time": "2023-05-02T09:02:32.288409",
     "exception": false,
     "start_time": "2023-05-02T09:02:32.275607",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Below is the code that I made to print out the toxic comment that has > 4500 words. If you want to, you can copy this notebook and try different threshold and number of random outliers that will be printed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "06897e86",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:32.317478Z",
     "iopub.status.busy": "2023-05-02T09:02:32.316305Z",
     "iopub.status.idle": "2023-05-02T09:02:32.326743Z",
     "shell.execute_reply": "2023-05-02T09:02:32.325673Z"
    },
    "papermill": {
     "duration": 0.027411,
     "end_time": "2023-05-02T09:02:32.328930",
     "exception": false,
     "start_time": "2023-05-02T09:02:32.301519",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of outliers: 914\n",
      "\n",
      "Index: 161190\n",
      "Comment: \" \n",
      "\n",
      " ::I find I have to agree with Teque. The introduction, for example, basically notes that some people have positive opinions of non-commercial dog food, and some people have negative opinions of commercial dog food. There is no point in either of those statements. The \"\"Commercial dog food\"\" section appears to make a comparison of canned and dry food, where the facts in question are that dry food is cheaper, lasts longer, and is \"\"more convenient\"\", and that canned food spoils faster but has a longer shelf life, and contains more protein on a dry matter basis. This isn't exactly appropriate, and all of these facts are mentioned again in the article, so this comparison seems intended to criminalize dry dog food. Further, the concept of \"\"dry matter\"\" probably needs to be explained, as anyone who hasn't taken a Nutrition course is unlikely to know what that means. If you dried out wet dog food, and then— without the water weight— compared it on a gram to gram scale with dry dog food, yes, it would have more protein. However, a serving of wet food is mostly moisture, while a serving of dry dog food is mostly dry matter. So, as I understand, a dog gets a higher quantity of protein from a serving of dry food than a serving of wet food. I haven't added this to the article myself because I'm only repeating what I've been taught, I'm not intimately familiar with the subject. Moving on, in the \"\"Alternate dog food\"\" sections, it is insinuated that commercial dog foods have no or significantly less nutritional value than alternate dog foods (freeze dried, I believe, to be specific); a more appropriate statement would possibly be that freeze dried foods retain more of their natural nutrients, while processed foods add nutrients back artificially. Next, the statement \"\"Many commercial dog foods are made from materials considered unusable or undesirable\"\" is entirely opinionated. A statement that some ingredients can be unhealthy could be acceptable if backed by a citation of scientific research. Further, any list of \"\"contents\"\" should not include only \"\"undesirable\"\" ones. It should include all common ingredients. Otherwise, the list should be removed, as it draws focus to those specific ingredients. I just have to note, the only line in this section that suggests dry food has any value whatsoever is that expensive foods may contain \"\"suitable\"\" ingredients. It's true that the cheapest brands have the quality of shoe leather, and any brand with adequate nutrition will be more expensive, but no note is made that the expensive food brands tend to be, nutritionally, very healthy for dogs. As well, there is mention of some of the less savory by products that are allowed into foods by AAFCO, but no mention of the nutritional requirements necessary to be AAFCO certified. I'm not saying that having cow brains in dog food is desirable, but it should also be noted that dog food must meet certain nutritional standards to be AAFCO certified. Generally, the difference is considered to be that between \"\"complete\"\" and \"\"complete and balanced\"\". A dog can survive on a solely complete diet, whereas a balanced diet is actually healthy (and necessary to be AAFCO certified). Interestingly, many prescription diets aren't AAFCO certified, because they will often deliberately reduce some kind of nutrient, like sodium. While this might have ill effects on a typical dog, it's more healthy for one having heart problems. On the same topic, under \"\"Labeling\"\", AAFCO certification is disparaged. However, the only source for this is a person's opinion. The main point seems to be that AAFCO standards are worthless— whether or not they are, I couldn't say— but the point should be that the organization requires food to meet healthier standards. Next, a question— if there's an entire article on 2007 dog food recalls, is it necessary to go into such detail here? A more abridged form, like that used for \"\"past recalls\"\", that directs readers to the separate article might be more appropriate. Overall, the article focuses on negatives of dry dog food and does not allow for the facts that some types of dry dog food are very healthy, that some types of wet food may be unhealthy, or that some alternate foods may not be healthy. Further, there is an over-reliance on this type of statement: \"\"Some argue...\"\" \"\"Some maintain...\"\" \"\"Proponents criticize...\"\" \"\"Supporters believe...\"\" \"\"Critics argue...\"\" The majority of which, I'd like to note, promote negative opinions of dry dog food. Just because it is someone else's opinion, though, does not make it any less of an opinion. Most of these statements lack any support or citations, as well.\"\n"
     ]
    }
   ],
   "source": [
    "# Set the character length threshold\n",
    "char_length_threshold = 4500\n",
    "\n",
    "# Find the outliers\n",
    "outliers = toxic_comment[toxic_comment['char_length'] > char_length_threshold]\n",
    "\n",
    "# Print the number of outliers\n",
    "print(f\"Number of outliers: {len(outliers)}\")\n",
    "\n",
    "# Randomly select a subset of outliers\n",
    "num_random_outliers = 1  # Change this value to print more or fewer outliers\n",
    "random_indices = random.sample(range(len(outliers)), num_random_outliers)\n",
    "random_outliers = outliers.iloc[random_indices]\n",
    "\n",
    "# Print the randomly selected outliers and their text\n",
    "for idx, outlier in random_outliers.iterrows():\n",
    "    print(f\"\\nIndex: {idx}\\nComment: {outlier['comment_text']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2bc5ef8",
   "metadata": {
    "papermill": {
     "duration": 0.013329,
     "end_time": "2023-05-02T09:02:32.355617",
     "exception": false,
     "start_time": "2023-05-02T09:02:32.342288",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "If you want to, you can go deeper and check if you gain any more insight for the length of text analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "84b5bc52",
   "metadata": {
    "papermill": {
     "duration": 0.012887,
     "end_time": "2023-05-02T09:02:32.381676",
     "exception": false,
     "start_time": "2023-05-02T09:02:32.368789",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Word Frequency Analysis\n",
    "\n",
    "The second thing we want to analyze is the frequency of the word. This will be very helpful, since we can detect spam and trolls, and look at the pattern on what words frequently used for toxic comment. To do this, we want tokenize the words. When we tokenize the words in a sentence or a paragraph, we essentially separate each word, taking into account punctuation, whitespace, and other delimiters. This process allows us to easily count word occurrences, perform frequency analysis, or apply other NLP techniques to the tokens.\n",
    "\n",
    "So, the plan here is, first, we want to see what words are most frequent. Then, we might want to seperately analyzing most common words for toxic and non-toxic comments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e994100a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:02:32.410571Z",
     "iopub.status.busy": "2023-05-02T09:02:32.409530Z",
     "iopub.status.idle": "2023-05-02T09:04:40.619228Z",
     "shell.execute_reply": "2023-05-02T09:04:40.618188Z"
    },
    "papermill": {
     "duration": 128.227287,
     "end_time": "2023-05-02T09:04:40.622100",
     "exception": false,
     "start_time": "2023-05-02T09:02:32.394813",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Tokenize words in the comments\n",
    "toxic_comment['tokenized_words'] = toxic_comment['comment_text'].apply(lambda x: nltk.word_tokenize(x.lower()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "11db7ed4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:04:40.650958Z",
     "iopub.status.busy": "2023-05-02T09:04:40.650588Z",
     "iopub.status.idle": "2023-05-02T09:04:40.953139Z",
     "shell.execute_reply": "2023-05-02T09:04:40.952086Z"
    },
    "papermill": {
     "duration": 0.319737,
     "end_time": "2023-05-02T09:04:40.955808",
     "exception": false,
     "start_time": "2023-05-02T09:04:40.636071",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create a list of all words in the dataset\n",
    "all_words = []\n",
    "for words in toxic_comment['tokenized_words']:\n",
    "    all_words.extend(words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "0893a905",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:04:40.984376Z",
     "iopub.status.busy": "2023-05-02T09:04:40.983819Z",
     "iopub.status.idle": "2023-05-02T09:04:54.253467Z",
     "shell.execute_reply": "2023-05-02T09:04:54.252422Z"
    },
    "papermill": {
     "duration": 13.286723,
     "end_time": "2023-05-02T09:04:54.256119",
     "exception": false,
     "start_time": "2023-05-02T09:04:40.969396",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the frequency distribution of words\n",
    "freq_dist = FreqDist(all_words)\n",
    "\n",
    "# Plot the top 20 most common words\n",
    "plt.figure(figsize=(12, 6))\n",
    "freq_dist.plot(20, cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8db24989",
   "metadata": {
    "papermill": {
     "duration": 0.013842,
     "end_time": "2023-05-02T09:04:54.284651",
     "exception": false,
     "start_time": "2023-05-02T09:04:54.270809",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "We can see the plot above, but that plot is as useful as a paper umbrella in a hurricane. What I mean here is, of course we know that the words \"the\", \"you\", \"and\", and any general things will be the most common words. The second problem is the special character like \",\", \".\", \";\", and so on.\n",
    "\n",
    "To solve this issue, we can use a common English stopwords and isalpha function when we tokenize the words."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "89799141",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:04:54.314980Z",
     "iopub.status.busy": "2023-05-02T09:04:54.313957Z",
     "iopub.status.idle": "2023-05-02T09:04:54.321533Z",
     "shell.execute_reply": "2023-05-02T09:04:54.320584Z"
    },
    "papermill": {
     "duration": 0.025319,
     "end_time": "2023-05-02T09:04:54.323969",
     "exception": false,
     "start_time": "2023-05-02T09:04:54.298650",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "english_stopwords = set(stopwords.words('english'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1b377dde",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:04:54.354152Z",
     "iopub.status.busy": "2023-05-02T09:04:54.353141Z",
     "iopub.status.idle": "2023-05-02T09:07:06.115358Z",
     "shell.execute_reply": "2023-05-02T09:07:06.114141Z"
    },
    "papermill": {
     "duration": 131.780594,
     "end_time": "2023-05-02T09:07:06.118639",
     "exception": false,
     "start_time": "2023-05-02T09:04:54.338045",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Tokenize words in the comments and exclude stopwords and non-alphabetic tokens\n",
    "toxic_comment['tokenized_words'] = toxic_comment['comment_text'].apply(\n",
    "    lambda x: [word for word in nltk.word_tokenize(x.lower())\n",
    "               if word not in english_stopwords and word.isalpha()]\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "913ec73e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:07:06.152859Z",
     "iopub.status.busy": "2023-05-02T09:07:06.152490Z",
     "iopub.status.idle": "2023-05-02T09:07:06.739735Z",
     "shell.execute_reply": "2023-05-02T09:07:06.734966Z"
    },
    "papermill": {
     "duration": 0.609043,
     "end_time": "2023-05-02T09:07:06.744063",
     "exception": false,
     "start_time": "2023-05-02T09:07:06.135020",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create a list of all words in the dataset\n",
    "all_words = []\n",
    "for words in toxic_comment['tokenized_words']:\n",
    "    all_words.extend(words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "6df59c04",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:07:06.803108Z",
     "iopub.status.busy": "2023-05-02T09:07:06.802526Z",
     "iopub.status.idle": "2023-05-02T09:07:12.995622Z",
     "shell.execute_reply": "2023-05-02T09:07:12.994342Z"
    },
    "papermill": {
     "duration": 6.22573,
     "end_time": "2023-05-02T09:07:12.997990",
     "exception": false,
     "start_time": "2023-05-02T09:07:06.772260",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the frequency distribution of words\n",
    "freq_dist = FreqDist(all_words)\n",
    "\n",
    "# Plot the top 20 most common words\n",
    "plt.figure(figsize=(12, 6))\n",
    "freq_dist.plot(20, cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7df9416e",
   "metadata": {
    "papermill": {
     "duration": 0.014327,
     "end_time": "2023-05-02T09:07:13.027341",
     "exception": false,
     "start_time": "2023-05-02T09:07:13.013014",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now this look much better. But still, the insight we gain from the plot above is just that we know the dataset we're dealing with is a comment from article.\n",
    "\n",
    "So, the next step we want to do is to seperate the toxic and non-toxic frequent words."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1be3498d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:07:13.058918Z",
     "iopub.status.busy": "2023-05-02T09:07:13.057786Z",
     "iopub.status.idle": "2023-05-02T09:07:13.064667Z",
     "shell.execute_reply": "2023-05-02T09:07:13.063583Z"
    },
    "papermill": {
     "duration": 0.025084,
     "end_time": "2023-05-02T09:07:13.066851",
     "exception": false,
     "start_time": "2023-05-02T09:07:13.041767",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_word_frequency(words, title):\n",
    "    word_freq = Counter(words)\n",
    "    top_words = word_freq.most_common(20)\n",
    "    word, frequency = zip(*top_words)\n",
    "\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    plt.bar(word, frequency)\n",
    "    plt.title(title)\n",
    "    plt.xlabel('Words')\n",
    "    plt.ylabel('Frequency')\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "91f5a754",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:07:13.097765Z",
     "iopub.status.busy": "2023-05-02T09:07:13.096815Z",
     "iopub.status.idle": "2023-05-02T09:09:26.351319Z",
     "shell.execute_reply": "2023-05-02T09:09:26.350238Z"
    },
    "papermill": {
     "duration": 133.272661,
     "end_time": "2023-05-02T09:09:26.353735",
     "exception": false,
     "start_time": "2023-05-02T09:07:13.081074",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toxic_comments = toxic_comment[toxic_comment['toxic'] == 1]['comment_text']\n",
    "non_toxic_comments = toxic_comment[toxic_comment['toxic'] == 0]['comment_text']\n",
    "\n",
    "toxic_words = []\n",
    "non_toxic_words = []\n",
    "\n",
    "for comment in toxic_comments:\n",
    "    toxic_words.extend([word.lower() for word in nltk.word_tokenize(comment) if word.lower() not in english_stopwords and word.isalpha()])\n",
    "\n",
    "for comment in non_toxic_comments:\n",
    "    non_toxic_words.extend([word.lower() for word in nltk.word_tokenize(comment) if word.lower() not in english_stopwords and word.isalpha()])\n",
    "\n",
    "plot_word_frequency(toxic_words, \"Top 20 Most Common Words in Toxic Comments (excluding stopwords and special characters)\")\n",
    "plot_word_frequency(non_toxic_words, \"Top 20 Most Common Words in Non-Toxic Comments (excluding stopwords and special characters)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f79e3dc",
   "metadata": {
    "papermill": {
     "duration": 0.016238,
     "end_time": "2023-05-02T09:09:26.386405",
     "exception": false,
     "start_time": "2023-05-02T09:09:26.370167",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now we see the differences. Even though there are some non-related toxic words like \"wikipedia\" and \"people\", toxic words contains way more offensive words."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de5b8e95",
   "metadata": {
    "papermill": {
     "duration": 0.016203,
     "end_time": "2023-05-02T09:09:26.419399",
     "exception": false,
     "start_time": "2023-05-02T09:09:26.403196",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# N-grams Analysis\n",
    "\n",
    "Analyzing word frequency is one thing, but analyzing it \"sequentially\" is another thing. We might want to see the continuation of the words. Yes, there are certain words that we don't need to analyze the continuation, especially the offensive words, but we're still curious how the word \"people\" and \"wikipedia\" are still in most toxic category. So, what we're going to do now is to analyze the N-grams analysis. Here, I'm going to use Bi-grams.\n",
    "\n",
    "Bi-grams are sequences of two consecutive words, and they can provide useful insights into the relationships between words in a given text. Analyzing bi-grams can help us understand how words are commonly paired together, which can be especially informative when examining text data.\n",
    "\n",
    "By analyzing bi-grams in toxic and non-toxic comments, we aim to identify common word pairs that appear in each category. This can help us understand the differences in language patterns between toxic and non-toxic comments. The insights gained can be valuable when building models to identify and classify toxic comments, as these patterns can be used as features for machine learning algorithms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "bfbde02f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:09:26.455052Z",
     "iopub.status.busy": "2023-05-02T09:09:26.453166Z",
     "iopub.status.idle": "2023-05-02T09:09:26.461832Z",
     "shell.execute_reply": "2023-05-02T09:09:26.460909Z"
    },
    "papermill": {
     "duration": 0.028589,
     "end_time": "2023-05-02T09:09:26.464056",
     "exception": false,
     "start_time": "2023-05-02T09:09:26.435467",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def plot_ngrams_frequency(ngrams, title):\n",
    "    ngram_freq = Counter(ngrams)\n",
    "    top_ngrams = ngram_freq.most_common(20)\n",
    "    ngram, frequency = zip(*top_ngrams)\n",
    "    ngram = [' '.join(gram) for gram in ngram]\n",
    "\n",
    "    plt.figure(figsize=(12, 6))\n",
    "    plt.bar(ngram, frequency)\n",
    "    plt.title(title)\n",
    "    plt.xlabel('N-grams')\n",
    "    plt.ylabel('Frequency')\n",
    "    plt.xticks(rotation=45)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b85a1144",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:09:26.497652Z",
     "iopub.status.busy": "2023-05-02T09:09:26.497031Z",
     "iopub.status.idle": "2023-05-02T09:09:26.535779Z",
     "shell.execute_reply": "2023-05-02T09:09:26.534778Z"
    },
    "papermill": {
     "duration": 0.058385,
     "end_time": "2023-05-02T09:09:26.538326",
     "exception": false,
     "start_time": "2023-05-02T09:09:26.479941",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "toxic_comments = toxic_comment[toxic_comment['toxic'] == 1]['comment_text']\n",
    "non_toxic_comments = toxic_comment[toxic_comment['toxic'] == 0]['comment_text']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "efe92577",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:09:26.573845Z",
     "iopub.status.busy": "2023-05-02T09:09:26.572733Z",
     "iopub.status.idle": "2023-05-02T09:09:26.579185Z",
     "shell.execute_reply": "2023-05-02T09:09:26.578282Z"
    },
    "papermill": {
     "duration": 0.02633,
     "end_time": "2023-05-02T09:09:26.581252",
     "exception": false,
     "start_time": "2023-05-02T09:09:26.554922",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def generate_ngrams(text, n):\n",
    "    tokens = [token.lower() for token in nltk.word_tokenize(text) if token.lower() not in english_stopwords and token.isalpha()]\n",
    "    ngrams = list(nltk.ngrams(tokens, n)) if len(tokens) >= n else []\n",
    "    return ngrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "1c0e353b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:09:26.616140Z",
     "iopub.status.busy": "2023-05-02T09:09:26.614652Z",
     "iopub.status.idle": "2023-05-02T09:11:49.196456Z",
     "shell.execute_reply": "2023-05-02T09:11:49.195390Z"
    },
    "papermill": {
     "duration": 142.601801,
     "end_time": "2023-05-02T09:11:49.199120",
     "exception": false,
     "start_time": "2023-05-02T09:09:26.597319",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toxic_ngrams = []\n",
    "non_toxic_ngrams = []\n",
    "\n",
    "for comment in toxic_comments:\n",
    "    toxic_ngrams.extend(generate_ngrams(comment, 2))\n",
    "\n",
    "for comment in non_toxic_comments:\n",
    "    non_toxic_ngrams.extend(generate_ngrams(comment, 2))\n",
    "\n",
    "plot_ngrams_frequency(toxic_ngrams, \"Top 20 Most Common Bi-grams in Toxic Comments (excluding stopwords)\")\n",
    "plot_ngrams_frequency(non_toxic_ngrams, \"Top 20 Most Common Bi-grams in Non-Toxic Comments (excluding stopwords)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34a4ddd5",
   "metadata": {
    "papermill": {
     "duration": 0.017965,
     "end_time": "2023-05-02T09:11:49.236164",
     "exception": false,
     "start_time": "2023-05-02T09:11:49.218199",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now, it's more obvious what the toxic words are. Most of them are repeatable words. We can speculate that most repeatable words are in toxic category, since I can't image someone comments like \"happy happy\". We could use this information to improve our model's ability to recognize toxic language."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e240c905",
   "metadata": {
    "papermill": {
     "duration": 0.018115,
     "end_time": "2023-05-02T09:11:49.272650",
     "exception": false,
     "start_time": "2023-05-02T09:11:49.254535",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Sentiment Analysis\n",
    "\n",
    "The next analysis we want to do is Sentiment Analysis. Sentiment Analysis is being used so we can understand if a piece of text is positive, negative, or neutral.\n",
    "\n",
    "In this context, which contains comments that are labeled as toxic and non-toxic, performing sentiment analysis can provide additional insights into the emotional tone of the comments. By comparing the sentiment scores of toxic and non-toxic comments, you can explore whether there is a relationship between the sentiment and toxicity of a comment.\n",
    "\n",
    "I used texblob to do sentiment analysis, since it's faster and more simple. I tried to use sentiment analyzer from nltk, but it's just so slow. If wanted to, or if you have accelerator in kaggle, you might want to try it. The sentiment scores you obtained using TextBlob range from -1 (most negative sentiment) to 1 (most positive sentiment), with 0 representing neutral sentiment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "624d162d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:11:49.311576Z",
     "iopub.status.busy": "2023-05-02T09:11:49.310960Z",
     "iopub.status.idle": "2023-05-02T09:11:49.316385Z",
     "shell.execute_reply": "2023-05-02T09:11:49.315225Z"
    },
    "papermill": {
     "duration": 0.028277,
     "end_time": "2023-05-02T09:11:49.319084",
     "exception": false,
     "start_time": "2023-05-02T09:11:49.290807",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_sentiment_scores(text):\n",
    "    tb = TextBlob(text)\n",
    "    return {'compound': tb.sentiment.polarity}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efc6703b",
   "metadata": {
    "papermill": {
     "duration": 0.018055,
     "end_time": "2023-05-02T09:11:49.355393",
     "exception": false,
     "start_time": "2023-05-02T09:11:49.337338",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The code below is for sentiment analysis from nltk. Uncomment it if you want to use it instead."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "8ac1fffd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:11:49.394366Z",
     "iopub.status.busy": "2023-05-02T09:11:49.393169Z",
     "iopub.status.idle": "2023-05-02T09:11:49.398409Z",
     "shell.execute_reply": "2023-05-02T09:11:49.397357Z"
    },
    "papermill": {
     "duration": 0.026933,
     "end_time": "2023-05-02T09:11:49.400619",
     "exception": false,
     "start_time": "2023-05-02T09:11:49.373686",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# def get_sentiment_scores(text):\n",
    "#     sia = SentimentIntensityAnalyzer()\n",
    "#     return sia.polarity_scores(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "5275bf06",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-05-02T09:11:49.438817Z",
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    "tags": []
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   "outputs": [],
   "source": [
    "toxic_comment['sentiment'] = toxic_comment['comment_text'].apply(get_sentiment_scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5aa75a64",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average sentiment score for toxic comments: -0.12343763359339562\n",
      "Average sentiment score for non-toxic comments: 0.08777209053996625\n"
     ]
    }
   ],
   "source": [
    "toxic_comments_sentiment = toxic_comment[toxic_comment['toxic'] == 1]['sentiment']\n",
    "non_toxic_comments_sentiment = toxic_comment[toxic_comment['toxic'] == 0]['sentiment']\n",
    "\n",
    "avg_sentiment_toxic = toxic_comments_sentiment.apply(lambda x: x['compound']).mean()\n",
    "avg_sentiment_non_toxic = non_toxic_comments_sentiment.apply(lambda x: x['compound']).mean()\n",
    "\n",
    "print(\"Average sentiment score for toxic comments:\", avg_sentiment_toxic)\n",
    "print(\"Average sentiment score for non-toxic comments:\", avg_sentiment_non_toxic)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2acb2a3",
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   "source": [
    "From the result that we've got, now we know that:\n",
    "- The average sentiment score for toxic comments is approximately -0.123, which indicates that toxic comments, on average, have a somewhat negative sentiment. This is expected because toxic comments typically contain negative language, insults, or offensive content.\n",
    "- The average sentiment score for non-toxic comments is approximately 0.088, which indicates that non-toxic comments, on average, have a slightly positive sentiment. This is expected because non-toxic comments generally include more neutral or positive language, as they don't contain the negative elements present in toxic comments.\n",
    "\n",
    "In our case, the average sentiment scores for toxic and non-toxic comments don't cover the entire range, but they still provide insights into the difference in sentiment between the two types of comments.\n",
    "\n",
    "The average sentiment scores for toxic and non-toxic comments in our dataset indicate that there is a noticeable difference in sentiment between the two groups. Toxic comments have a somewhat negative average sentiment, while non-toxic comments have a slightly positive average sentiment. This distinction can be useful in understanding the overall sentiment differences between toxic and non-toxic comments."
   ]
  }
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