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+{"cells":[{"cell_type":"markdown","metadata":{"id":"wz8ZtpV_vkWU"},"source":["# Sentiment Analysis with Hugging Face"]},{"cell_type":"markdown","metadata":{"id":"ZAK-6LHovkWW"},"source":["Hugging Face is an open-source and platform provider of machine learning technologies. You can use install their package to access some interesting pre-built models to use them directly or to fine-tune (retrain it on your dataset leveraging the prior knowledge coming with the first training), then host your trained models on the platform, so that you may use them later on other devices and apps.\n","\n","Please, [go to the website and sign-in](https://huggingface.co/) to access all the features of the platform.\n","\n","[Read more about Text classification with Hugging Face](https://huggingface.co/tasks/text-classification)\n","\n","The Hugging face models are Deep Learning based, so will need a lot of computational GPU power to train them. Please use [Colab](https://colab.research.google.com/) to do it, or your other GPU cloud provider, or a local machine having NVIDIA GPU."]},{"cell_type":"markdown","metadata":{"id":"k2oUBGMNvkWW"},"source":["## Application of Hugging Face Text classification model Fune-tuning"]},{"cell_type":"markdown","metadata":{"id":"O9VRm8uzvkWX"},"source":["Find below a simple example, with just `3 epochs of fine-tuning`.\n","\n","Read more about the fine-tuning concept : [here](https://deeplizard.com/learn/video/5T-iXNNiwIs#:~:text=Fine%2Dtuning%20is%20a%20way,perform%20a%20second%20similar%20task.)"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"r9Jx-No4vkWX","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694935871302,"user_tz":0,"elapsed":61446,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"fa7527b8-f046-4ff5-cdfe-ca6c56fef88a"},"outputs":[{"output_type":"stream","name":"stdout","text":["Collecting datasets\n","  Downloading datasets-2.14.5-py3-none-any.whl (519 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m519.6/519.6 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from datasets) (1.23.5)\n","Requirement already satisfied: pyarrow>=8.0.0 in /usr/local/lib/python3.10/dist-packages (from datasets) (9.0.0)\n","Collecting dill<0.3.8,>=0.3.0 (from datasets)\n","  Downloading dill-0.3.7-py3-none-any.whl (115 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hRequirement already satisfied: pandas in 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satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2.0.4)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2023.7.22)\n","Collecting neattext\n","  Downloading neattext-0.1.3-py3-none-any.whl (114 kB)\n","\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m114.7/114.7 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n","\u001b[?25hInstalling collected packages: neattext\n","Successfully installed neattext-0.1.3\n","Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.10/dist-packages (0.17.1)\n","Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (3.12.2)\n","Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface_hub) (2023.6.0)\n","Requirement already satisfied: requests in 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(2.0.4)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface_hub) (2023.7.22)\n"]}],"source":["# Install the datasets library\n","!pip install datasets\n","!pip install sentencepiece\n","!pip install transformers datasets\n","!pip install transformers[torch]\n","!pip install accelerate\n","!pip install accelerate>=0.20.1\n","!pip install huggingface_hub\n","!pip install  -q transformers datasets\n","!pip install neattext\n","!pip install huggingface_hub"]},{"cell_type":"code","execution_count":2,"metadata":{"id":"E8Xq8UJZvkWZ","executionInfo":{"status":"ok","timestamp":1694935874041,"user_tz":0,"elapsed":2745,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["##for handling path of my datasets\n","import os\n","from google.colab import drive\n","\n","##for data handling:\n","import pandas as pd\n","import numpy as np\n","from datasets import load_dataset\n","from sklearn.model_selection import train_test_split\n","\n","##for visualization\n","import matplotlib.pyplot as plt\n","from collections import Counter\n","from wordcloud import WordCloud\n","import neattext.functions as nfx\n","import re\n","\n","##modelling:\n","import nltk\n","from nltk.corpus import stopwords\n","import string\n","from transformers import AutoTokenizer\n","from transformers import AutoModelForSequenceClassification\n","from sklearn.metrics import mean_squared_error\n","from datasets import load_metric\n","from sklearn.metrics import f1_score\n"]},{"cell_type":"code","execution_count":3,"metadata":{"id":"u2ZtZuKRvkWa","executionInfo":{"status":"ok","timestamp":1694935874041,"user_tz":0,"elapsed":7,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Disabe W&B\n","os.environ[\"WANDB_DISABLED\"] = \"true\""]},{"cell_type":"code","source":["# drive.mount('/content/drive')"],"metadata":{"id":"EbNmKL0kwctF","executionInfo":{"status":"ok","timestamp":1694935874041,"user_tz":0,"elapsed":6,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"execution_count":4,"outputs":[]},{"cell_type":"code","source":["!git clone https://github.com/codedzifa/NLP-Sentiment-Analysis.git"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"k5MnFrUZmyEB","executionInfo":{"status":"ok","timestamp":1694935876632,"user_tz":0,"elapsed":2596,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"dd31925f-beed-4e90-aa55-d3ff77ad0166"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["Cloning into 'NLP-Sentiment-Analysis'...\n","remote: Enumerating objects: 18, done.\u001b[K\n","remote: Counting objects: 100% (18/18), done.\u001b[K\n","remote: Compressing objects: 100% (17/17), done.\u001b[K\n","remote: Total 18 (delta 1), reused 14 (delta 1), pack-reused 0\u001b[K\n","Receiving objects: 100% (18/18), 2.43 MiB | 5.60 MiB/s, done.\n","Resolving deltas: 100% (1/1), done.\n"]}]},{"cell_type":"markdown","metadata":{"id":"Y9bb_VlsvkWa"},"source":["#### LOADING DATASET"]},{"cell_type":"code","execution_count":6,"metadata":{"id":"YPt1Ppq1vkWa","executionInfo":{"status":"ok","timestamp":1694935876632,"user_tz":0,"elapsed":31,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["\n","\n","# Load the dataset and display some values\n","# df_train = pd.read_csv('../data/Train.csv')\n","# df_train = pd.read_csv('/content/drive/My Drive/Sentiment-Analysis-Model/data/Train.csv')\n","df_train = pd.read_csv('/content/NLP-Sentiment-Analysis/data/Train.csv')\n","\n","# A way to eliminate rows containing NaN values\n","df_train = df_train[~df_train.isna().any(axis=1)]\n","\n","\n","# Load the dataset and display some values\n","# df_test = pd.read_csv('../data/Test.csv')\n","# df_test = pd.read_csv('/content/drive/My Drive/Sentiment-Analysis-Model/data/Test.csv')\n","df_test = pd.read_csv('/content/NLP-Sentiment-Analysis/data/Test.csv')\n","\n","# A way to eliminate rows containing NaN values\n","df_test = df_test[~df_test.isna().any(axis=1)]"]},{"cell_type":"code","execution_count":7,"metadata":{"id":"-n5AsqTGvkWa","executionInfo":{"status":"ok","timestamp":1694935876633,"user_tz":0,"elapsed":31,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["##creating a copy\n","\n","train_data= df_train.copy()\n","test_data= df_test.copy()"]},{"cell_type":"markdown","metadata":{"id":"PvihvlXnvkWb"},"source":["## CRISP-DM Framework\n","\n","- Data Understanding\n","- Data Preparation\n","- Modelling\n","- Evaluation\n","- Deployment\n"]},{"cell_type":"markdown","metadata":{"id":"vrfjwJGLvkWb"},"source":["#### DATA UNDERSTANDING"]},{"cell_type":"markdown","metadata":{"id":"4CiPSA8fvkWb"},"source":["##### EXPLORATORY DATA ANALYSIS (EDA)"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"_wujoptNvkWb","executionInfo":{"status":"ok","timestamp":1694935876634,"user_tz":0,"elapsed":31,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"160bc87a-7843-4e4b-baf3-af2982964aed"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["      tweet_id                                          safe_text  label  \\\n","9728  GP9BYMUB  <user> how can we ensure the health of America...    0.0   \n","1947  WPVWSDM7  <user> <user> <user> <user> many follow like s...    0.0   \n","3650  8SYLB8P8  Who okayed having a likely unvaccinated Jenny ...    1.0   \n","4185  73VWG855  Now that #TomBrady has won the #SuperBowI, I h...    0.0   \n","3017  SUHG7BK3  Four new cases of measles in Tarrant County br...    0.0   \n","\n","      agreement  \n","9728   0.666667  \n","1947   0.666667  \n","3650   1.000000  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MT <user> Parents w/ #paidleave ..."],"text/html":["\n","  <div id=\"df-680e65a8-3db3-4f47-8410-ac6d751a3c24\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>tweet_id</th>\n","      <th>safe_text</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2936</th>\n","      <td>KC1IQ5A2</td>\n","      <td>&lt;user&gt; is this true? &lt;user&gt; Rvw of 20K scienti...</td>\n","    </tr>\n","    <tr>\n","      <th>3167</th>\n","      <td>LW5AH0K3</td>\n","      <td>There is a measles outbreak in \\nCalifornia, a...</td>\n","    </tr>\n","    <tr>\n","      <th>2710</th>\n","      <td>IT6KM141</td>\n","      <td>#KeyClubFridaysInJuly #MMR @ Key Club &lt;url&gt;</td>\n","    </tr>\n","    <tr>\n","      <th>2028</th>\n","      <td>E1MTNO8G</td>\n","      <td>VACCINATE YOUR CHILDREN</td>\n","    </tr>\n","    <tr>\n","      <th>1989</th>\n","      <td>DRNROE5W</td>\n","      <td>So important! MT &lt;user&gt; Parents w/ #paidleave ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-680e65a8-3db3-4f47-8410-ac6d751a3c24')\"\n","            title=\"Convert this dataframe to an interactive table.\"\n","            style=\"display:none;\">\n","\n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n","    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n","  </svg>\n","    </button>\n","\n","  <style>\n","    .colab-df-container {\n","      display:flex;\n","      gap: 12px;\n","    }\n","\n","    .colab-df-convert {\n","      background-color: #E8F0FE;\n","      border: none;\n","      border-radius: 50%;\n","      cursor: pointer;\n","      display: none;\n","      fill: #1967D2;\n","      height: 32px;\n","      padding: 0 0 0 0;\n","      width: 32px;\n","    }\n","\n","    .colab-df-convert:hover {\n","      background-color: #E2EBFA;\n","      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n","      fill: #174EA6;\n","    }\n","\n","    .colab-df-buttons div {\n","      margin-bottom: 4px;\n","    }\n","\n","    [theme=dark] .colab-df-convert {\n","      background-color: #3B4455;\n","      fill: #D2E3FC;\n","    }\n","\n","    [theme=dark] .colab-df-convert:hover {\n","      background-color: #434B5C;\n","      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n","      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n","      fill: #FFFFFF;\n","    }\n","  </style>\n","\n","    <script>\n","      const buttonEl =\n","        document.querySelector('#df-680e65a8-3db3-4f47-8410-ac6d751a3c24 button.colab-df-convert');\n","      buttonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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Visit the ' +\n","          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","          + ' to learn more about interactive tables.';\n","        element.innerHTML = '';\n","        dataTable['output_type'] = 'display_data';\n","        await google.colab.output.renderOutput(dataTable, element);\n","        const docLink = document.createElement('div');\n","        docLink.innerHTML = docLinkHtml;\n","        element.appendChild(docLink);\n","      }\n","    </script>\n","  </div>\n","\n","\n","<div id=\"df-70005ee4-3d72-4058-8e01-0017cf7c28e2\">\n","  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-70005ee4-3d72-4058-8e01-0017cf7c28e2')\"\n","            title=\"Suggest charts.\"\n","            style=\"display:none;\">\n","\n","<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","     width=\"24px\">\n","    <g>\n","        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n","    </g>\n","</svg>\n","  </button>\n","\n","<style>\n","  .colab-df-quickchart {\n","      --bg-color: #E8F0FE;\n","      --fill-color: #1967D2;\n","      --hover-bg-color: #E2EBFA;\n","      --hover-fill-color: #174EA6;\n","      --disabled-fill-color: #AAA;\n","      --disabled-bg-color: #DDD;\n","  }\n","\n","  [theme=dark] .colab-df-quickchart {\n","      --bg-color: #3B4455;\n","      --fill-color: #D2E3FC;\n","      --hover-bg-color: #434B5C;\n","      --hover-fill-color: #FFFFFF;\n","      --disabled-bg-color: #3B4455;\n","      --disabled-fill-color: #666;\n","  }\n","\n","  .colab-df-quickchart {\n","    background-color: var(--bg-color);\n","    border: none;\n","    border-radius: 50%;\n","    cursor: pointer;\n","    display: none;\n","    fill: var(--fill-color);\n","    height: 32px;\n","    padding: 0;\n","    width: 32px;\n","  }\n","\n","  .colab-df-quickchart:hover {\n","    background-color: var(--hover-bg-color);\n","    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n","    fill: var(--button-hover-fill-color);\n","  }\n","\n","  .colab-df-quickchart-complete:disabled,\n","  .colab-df-quickchart-complete:disabled:hover {\n","    background-color: var(--disabled-bg-color);\n","    fill: var(--disabled-fill-color);\n","    box-shadow: none;\n","  }\n","\n","  .colab-df-spinner {\n","    border: 2px solid var(--fill-color);\n","    border-color: transparent;\n","    border-bottom-color: var(--fill-color);\n","    animation:\n","      spin 1s steps(1) infinite;\n","  }\n","\n","  @keyframes spin {\n","    0% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","      border-left-color: var(--fill-color);\n","    }\n","    20% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    30% {\n","      border-color: transparent;\n","      border-left-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","      border-right-color: var(--fill-color);\n","    }\n","    40% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-top-color: var(--fill-color);\n","    }\n","    60% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","    }\n","    80% {\n","      border-color: transparent;\n","      border-right-color: var(--fill-color);\n","      border-bottom-color: var(--fill-color);\n","    }\n","    90% {\n","      border-color: transparent;\n","      border-bottom-color: var(--fill-color);\n","    }\n","  }\n","</style>\n","\n","  <script>\n","    async function quickchart(key) {\n","      const quickchartButtonEl =\n","        document.querySelector('#' + key + ' button');\n","      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n","      quickchartButtonEl.classList.add('colab-df-spinner');\n","      try {\n","        const charts = await google.colab.kernel.invokeFunction(\n","            'suggestCharts', [key], {});\n","      } catch (error) {\n","        console.error('Error during call to suggestCharts:', error);\n","      }\n","      quickchartButtonEl.classList.remove('colab-df-spinner');\n","      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n","    }\n","    (() => {\n","      let quickchartButtonEl =\n","        document.querySelector('#df-70005ee4-3d72-4058-8e01-0017cf7c28e2 button');\n","      quickchartButtonEl.style.display =\n","        google.colab.kernel.accessAllowed ? 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KB\n","the info df_train dataset are:  \n","\n"," None \n","\n"," ------------------------------------------------------------\n","<class 'pandas.core.frame.DataFrame'>\n","Int64Index: 5176 entries, 0 to 5176\n","Data columns (total 2 columns):\n"," #   Column     Non-Null Count  Dtype \n","---  ------     --------------  ----- \n"," 0   tweet_id   5176 non-null   object\n"," 1   safe_text  5176 non-null   object\n","dtypes: object(2)\n","memory usage: 121.3+ KB\n","the info df_test dataset are:  \n","\n"," None \n","\n"," ------------------------------------------------------------\n"]}],"source":["#Getting info\n","data=[train_data, test_data]\n","names=[\"df_train\", \"df_test\"]\n","\n","for m, i in zip(data, names):\n","  print(f\"the info\", i,\"dataset are: \", \"\\n\\n\", m.info(), \"\\n\\n\", \"---\"*20 )"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"vSQJcmqvvkWc","executionInfo":{"status":"ok","timestamp":1694935876635,"user_tz":0,"elapsed":27,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"a5515f03-bf80-4d45-db91-099130acbd75"},"outputs":[{"output_type":"execute_result","data":{"text/plain":[" 0.0    4908\n"," 1.0    4053\n","-1.0    1038\n","Name: label, dtype: int64"]},"metadata":{},"execution_count":11}],"source":["# We look at the number of positive, negative and neutral reviews\n","train_data.label.value_counts()"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"Ek08zaNDvkWc","executionInfo":{"status":"ok","timestamp":1694935876636,"user_tz":0,"elapsed":25,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"e293023d-5781-4f4b-e8ff-197285dd92a8"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkgAAAHHCAYAAABEEKc/AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAA4o0lEQVR4nO3de1gWdf7/8RfIScUbPIIkKh5SMQ+pqVibmiQatvpVd9NcQ/NQLpqHVo3WNKmW1i3Ptrbbt3BLN7UtLUk84KmUzEjy7KqZWgaYBrdHUPj8/ujL/fMe1OQgN+jzcV1zXd2fec/Me8ZZfe3cM3O7GWOMAAAA4ODu6gYAAADKGgISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhJwG3vxxRfl5uZWKtvq0qWLunTp4vi8adMmubm56YMPPiiV7Q8ZMkT169cvlW0V1blz5zR8+HAFBgbKzc1N48aNK5XtDhkyRL6+viW6TuufN3C7ISAB5UR8fLzc3Nwck4+Pj4KCghQREaG5c+fq7NmzJbKdkydP6sUXX1RqamqJrK8kleXebsZf/vIXxcfHa9SoUXr33Xc1ePDg69bWr19fvXr1KsXuAFzNw9UNACic2NhYhYSE6PLly0pLS9OmTZs0btw4zZw5Ux9//LFatmzpqJ0yZYqee+65Qq3/5MmTmj59uurXr6/WrVvf9HJr164t1HaK4ka9/fOf/1ReXt4t76E4NmzYoI4dO2ratGmubgXAryAgAeVMz5491a5dO8fnmJgYbdiwQb169dJvf/tb7d+/XxUrVpQkeXh4yMPj1v7P/MKFC6pUqZK8vLxu6XZ+jaenp0u3fzMyMjIUGhrq6jYA3AS+YgNuAw899JBeeOEFHTt2TO+9955j/Fr3IK1bt04PPPCA/P395evrqyZNmuj555+X9Mt9Q/fdd58kaejQoY6v8+Lj4yX9ct/JPffco5SUFD344IOqVKmSY9nr3ZOSm5ur559/XoGBgapcubJ++9vf6sSJE0419evX15AhQwose/U6f623a92DdP78eT377LMKDg6Wt7e3mjRpotdee03GGKc6Nzc3jR49WitWrNA999wjb29vNW/eXImJidc+4BYZGRkaNmyYAgIC5OPjo1atWmnRokWO+fn3Yx09elQJCQmO3r/77rubWv/1fPbZZ/rd736nunXrytvbW8HBwRo/frwuXrx4zfpvv/1WERERqly5soKCghQbG1vgWOTl5Wn27Nlq3ry5fHx8FBAQoKeeeko///zzr/Yzb948NW/eXJUqVVLVqlXVrl07LVmypFj7CLgKV5CA28TgwYP1/PPPa+3atRoxYsQ1a/bu3atevXqpZcuWio2Nlbe3tw4fPqytW7dKkpo1a6bY2FhNnTpVI0eO1G9+8xtJUqdOnRzrOH36tHr27KkBAwboD3/4gwICAm7Y1yuvvCI3NzdNnjxZGRkZmj17tsLDw5Wamuq40nUzbqa3qxlj9Nvf/lYbN27UsGHD1Lp1a61Zs0YTJ07UDz/8oFmzZjnVf/755/rwww/1xz/+UVWqVNHcuXPVr18/HT9+XNWrV79uXxcvXlSXLl10+PBhjR49WiEhIVq+fLmGDBmizMxMjR07Vs2aNdO7776r8ePHq06dOnr22WclSTVr1rzp/b+W5cuX68KFCxo1apSqV6+uL7/8UvPmzdP333+v5cuXO9Xm5uaqR48e6tixo2bMmKHExERNmzZNV65cUWxsrKPuqaeeUnx8vIYOHapnnnlGR48e1fz587Vz505t3br1ulfq/vnPf+qZZ55R//79NXbsWF26dEm7du3S9u3b9fjjjxdrPwGXMADKhXfeecdIMjt27LhujZ+fn7n33nsdn6dNm2au/p/5rFmzjCRz6tSp665jx44dRpJ55513Cszr3LmzkWQWLlx4zXmdO3d2fN64caORZO666y5jt9sd48uWLTOSzJw5cxxj9erVM1FRUb+6zhv1FhUVZerVq+f4vGLFCiPJvPzyy051/fv3N25ububw4cOOMUnGy8vLaeybb74xksy8efMKbOtqs2fPNpLMe++95xjLyckxYWFhxtfX12nf69WrZyIjI2+4vsLUXrhwocBYXFyccXNzM8eOHXOMRUVFGUlmzJgxjrG8vDwTGRlpvLy8HOfDZ599ZiSZxYsXO60zMTGxwLj1z6Z3796mefPmN7VvQHnAV2zAbcTX1/eGT7P5+/tLklauXFnkG5q9vb01dOjQm65/4oknVKVKFcfn/v37q3bt2vr000+LtP2b9emnn6pChQp65plnnMafffZZGWO0evVqp/Hw8HA1bNjQ8blly5ay2Wz69ttvf3U7gYGBGjhwoGPM09NTzzzzjM6dO6fNmzeXwN5c29VX4M6fP6+ffvpJnTp1kjFGO3fuLFA/evRox3/nf62Yk5Oj9evXS/rlipSfn58efvhh/fTTT46pbdu28vX11caNG6/bi7+/v77//nvt2LGjBPcQcB0CEnAbOXfunFMYsXrsscd0//33a/jw4QoICNCAAQO0bNmyQoWlu+66q1A3ZDdu3Njps5ubmxo1alTs+29+zbFjxxQUFFTgeDRr1swx/2p169YtsI6qVav+6r03x44dU+PGjeXu7vzX6fW2U5KOHz+uIUOGqFq1avL19VXNmjXVuXNnSVJWVpZTrbu7uxo0aOA0dvfdd0uS48/i0KFDysrKUq1atVSzZk2n6dy5c8rIyLhuL5MnT5avr6/at2+vxo0bKzo62vHVLVAecQ8ScJv4/vvvlZWVpUaNGl23pmLFitqyZYs2btyohIQEJSYmaunSpXrooYe0du1aVahQ4Ve3U5j7hm7W9V5mmZube1M9lYTrbcdYbmIuK3Jzc/Xwww/rzJkzmjx5spo2barKlSvrhx9+0JAhQ4p0hTAvL0+1atXS4sWLrzn/RvdMNWvWTAcPHtSqVauUmJio//znP3rjjTc0depUTZ8+vdC9AK5GQAJuE++++64kKSIi4oZ17u7u6tatm7p166aZM2fqL3/5i/785z9r48aNCg8PL/E3bx86dMjpszFGhw8fdnpfU9WqVZWZmVlg2WPHjjld9ShMb/Xq1dP69et19uxZp6tIBw4ccMwvCfXq1dOuXbuUl5fndBWppLdjtXv3bv33v//VokWL9MQTTzjG161bd836vLw8ffvtt46rRpL03//+V5IcT/81bNhQ69ev1/3331+kIFy5cmU99thjeuyxx5STk6O+ffvqlVdeUUxMjHx8fAq9PsCV+IoNuA1s2LBBL730kkJCQjRo0KDr1p05c6bAWP4LF7OzsyX98o+cpGsGlqL417/+5XRf1AcffKAff/xRPXv2dIw1bNhQX3zxhXJychxjq1atKvA6gML09sgjjyg3N1fz5893Gp81a5bc3Nyctl8cjzzyiNLS0rR06VLH2JUrVzRv3jz5+vo6vvIqaflXvK6+wmWM0Zw5c667zNXHwhij+fPny9PTU926dZMk/f73v1dubq5eeumlAsteuXLlhsf99OnTTp+9vLwUGhoqY4wuX758U/sElCVcQQLKmdWrV+vAgQO6cuWK0tPTtWHDBq1bt0716tXTxx9/fMP/px4bG6stW7YoMjJS9erVU0ZGht544w3VqVNHDzzwgKRfwoq/v78WLlyoKlWqqHLlyurQoYNCQkKK1G+1atX0wAMPaOjQoUpPT9fs2bPVqFEjp1cRDB8+XB988IF69Oih3//+9zpy5Ijee+89p5umC9vbo48+qq5du+rPf/6zvvvuO7Vq1Upr167VypUrNW7cuALrLqqRI0fqzTff1JAhQ5SSkqL69evrgw8+0NatWzV79uwb3hP2aw4fPqyXX365wPi9996r7t27q2HDhvrTn/6kH374QTabTf/5z3+ue8+Uj4+PEhMTFRUVpQ4dOmj16tVKSEjQ888/7/jqrHPnznrqqacUFxen1NRUde/eXZ6enjp06JCWL1+uOXPmqH///tdcf/fu3RUYGKj7779fAQEB2r9/v+bPn6/IyMhiHQPAZVz3AB2Awsh/zD9/8vLyMoGBgebhhx82c+bMcXqcPJ/1Mf+kpCTTu3dvExQUZLy8vExQUJAZOHCg+e9//+u03MqVK01oaKjx8PBweqy+c+fO132U+3qP+f/73/82MTExplatWqZixYomMjLS6RH0fK+//rq56667jLe3t7n//vvNV199VWCdN+rN+pi/McacPXvWjB8/3gQFBRlPT0/TuHFj87e//c3k5eU51Uky0dHRBXq63usHrNLT083QoUNNjRo1jJeXl2nRosU1X0VQ2Mf8r/7zvnoaNmyYMcaYffv2mfDwcOPr62tq1KhhRowY4Xg9wdXbj4qKMpUrVzZHjhwx3bt3N5UqVTIBAQFm2rRpJjc3t8C2//GPf5i2bduaihUrmipVqpgWLVqYSZMmmZMnTzpqrH82b775pnnwwQdN9erVjbe3t2nYsKGZOHGiycrKuqn9BcoaN2PK6B2IAAAALsI9SAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsOBFkTchLy9PJ0+eVJUqVUr8ZxgAAMCtYYzR2bNnFRQUVOAHpX8NAekmnDx5UsHBwa5uAwAAFMGJEydUp06dQi1DQLoJ+a/JP3HihGw2m4u7AQAAN8Nutys4OLhIP3dDQLoJ+V+r2Ww2AhIAAOVMUW6P4SZtAAAACwISAACABQEJAADAgoAEAABg4dKA9OKLL8rNzc1patq0qWP+pUuXFB0drerVq8vX11f9+vVTenq60zqOHz+uyMhIVapUSbVq1dLEiRN15coVp5pNmzapTZs28vb2VqNGjRQfH18auwcAAMopl19Bat68uX788UfH9PnnnzvmjR8/Xp988omWL1+uzZs36+TJk+rbt69jfm5uriIjI5WTk6Nt27Zp0aJFio+P19SpUx01R48eVWRkpLp27arU1FSNGzdOw4cP15o1a0p1PwEAQPnhZowxrtr4iy++qBUrVig1NbXAvKysLNWsWVNLlixR//79JUkHDhxQs2bNlJycrI4dO2r16tXq1auXTp48qYCAAEnSwoULNXnyZJ06dUpeXl6aPHmyEhIStGfPHse6BwwYoMzMTCUmJt5Un3a7XX5+fsrKyuIxfwAAyoni/Pvt8itIhw4dUlBQkBo0aKBBgwbp+PHjkqSUlBRdvnxZ4eHhjtqmTZuqbt26Sk5OliQlJyerRYsWjnAkSREREbLb7dq7d6+j5up15Nfkr+NasrOzZbfbnSYAAHDncGlA6tChg+Lj45WYmKi///3vOnr0qH7zm9/o7NmzSktLk5eXl/z9/Z2WCQgIUFpamiQpLS3NKRzlz8+fd6Mau92uixcvXrOvuLg4+fn5OSZ+ZgQAgDuLS9+k3bNnT8d/t2zZUh06dFC9evW0bNkyVaxY0WV9xcTEaMKECY7P+a8qBwAAdwaXf8V2NX9/f9199906fPiwAgMDlZOTo8zMTKea9PR0BQYGSpICAwMLPNWW//nXamw223VDmLe3t+NnRfh5EQAA7jxlKiCdO3dOR44cUe3atdW2bVt5enoqKSnJMf/gwYM6fvy4wsLCJElhYWHavXu3MjIyHDXr1q2TzWZTaGioo+bqdeTX5K8DAADAyqUB6U9/+pM2b96s7777Ttu2bdP//M//qEKFCho4cKD8/Pw0bNgwTZgwQRs3blRKSoqGDh2qsLAwdezYUZLUvXt3hYaGavDgwfrmm2+0Zs0aTZkyRdHR0fL29pYkPf300/r22281adIkHThwQG+88YaWLVum8ePHu3LXAQBAGebSe5C+//57DRw4UKdPn1bNmjX1wAMP6IsvvlDNmjUlSbNmzZK7u7v69eun7OxsRURE6I033nAsX6FCBa1atUqjRo1SWFiYKleurKioKMXGxjpqQkJClJCQoPHjx2vOnDmqU6eO3nrrLUVERJT6/gIAgPLBpe9BKi94DxIAAOVPcf79dukVJABlQ/3nElzdAlzsu1cjXd0CUKaUqZu0AQAAygICEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABg4eHqBvK9+uqriomJ0dixYzV79mxJ0qVLl/Tss8/q/fffV3Z2tiIiIvTGG28oICDAsdzx48c1atQobdy4Ub6+voqKilJcXJw8PP7/rm3atEkTJkzQ3r17FRwcrClTpmjIkCGlvIcAgOup/1yCq1uAi333aqSrW3BSJq4g7dixQ2+++aZatmzpND5+/Hh98sknWr58uTZv3qyTJ0+qb9++jvm5ubmKjIxUTk6Otm3bpkWLFik+Pl5Tp0511Bw9elSRkZHq2rWrUlNTNW7cOA0fPlxr1qwptf0DAADli8sD0rlz5zRo0CD985//VNWqVR3jWVlZ+t///V/NnDlTDz30kNq2bat33nlH27Zt0xdffCFJWrt2rfbt26f33ntPrVu3Vs+ePfXSSy9pwYIFysnJkSQtXLhQISEhev3119WsWTONHj1a/fv316xZs1yyvwAAoOxzeUCKjo5WZGSkwsPDncZTUlJ0+fJlp/GmTZuqbt26Sk5OliQlJyerRYsWTl+5RUREyG63a+/evY4a67ojIiIc67iW7Oxs2e12pwkAANw5XHoP0vvvv6+vv/5aO3bsKDAvLS1NXl5e8vf3dxoPCAhQWlqao+bqcJQ/P3/ejWrsdrsuXryoihUrFth2XFycpk+fXuT9AgAA5ZvLriCdOHFCY8eO1eLFi+Xj4+OqNq4pJiZGWVlZjunEiROubgkAAJQilwWklJQUZWRkqE2bNvLw8JCHh4c2b96suXPnysPDQwEBAcrJyVFmZqbTcunp6QoMDJQkBQYGKj09vcD8/Hk3qrHZbNe8eiRJ3t7estlsThMAALhzuCwgdevWTbt371ZqaqpjateunQYNGuT4b09PTyUlJTmWOXjwoI4fP66wsDBJUlhYmHbv3q2MjAxHzbp162Sz2RQaGuqouXod+TX56wAAALBy2T1IVapU0T333OM0VrlyZVWvXt0xPmzYME2YMEHVqlWTzWbTmDFjFBYWpo4dO0qSunfvrtDQUA0ePFgzZsxQWlqapkyZoujoaHl7e0uSnn76ac2fP1+TJk3Sk08+qQ0bNmjZsmVKSOCdGwAA4NrKzIsir2XWrFlyd3dXv379nF4Uma9ChQpatWqVRo0apbCwMFWuXFlRUVGKjY111ISEhCghIUHjx4/XnDlzVKdOHb311luKiIhwxS4BAIBywM0YY1zdRFlnt9vl5+enrKws7kfCbYm3GMPVbzHmHMStOAeL8++3y9+DBAAAUNYQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAAC5cGpL///e9q2bKlbDabbDabwsLCtHr1asf8S5cuKTo6WtWrV5evr6/69eun9PR0p3UcP35ckZGRqlSpkmrVqqWJEyfqypUrTjWbNm1SmzZt5O3trUaNGik+Pr40dg8AAJRTLg1IderU0auvvqqUlBR99dVXeuihh9S7d2/t3btXkjR+/Hh98sknWr58uTZv3qyTJ0+qb9++juVzc3MVGRmpnJwcbdu2TYsWLVJ8fLymTp3qqDl69KgiIyPVtWtXpaamaty4cRo+fLjWrFlT6vsLAADKBzdjjHF1E1erVq2a/va3v6l///6qWbOmlixZov79+0uSDhw4oGbNmik5OVkdO3bU6tWr1atXL508eVIBAQGSpIULF2ry5Mk6deqUvLy8NHnyZCUkJGjPnj2ObQwYMECZmZlKTEy8qZ7sdrv8/PyUlZUlm81W8jsNuFj95xJc3QJc7LtXI126fc5B3IpzsDj/fpeZe5Byc3P1/vvv6/z58woLC1NKSoouX76s8PBwR03Tpk1Vt25dJScnS5KSk5PVokULRziSpIiICNntdsdVqOTkZKd15NfkrwMAAMDKw9UN7N69W2FhYbp06ZJ8fX310UcfKTQ0VKmpqfLy8pK/v79TfUBAgNLS0iRJaWlpTuEof37+vBvV2O12Xbx4URUrVizQU3Z2trKzsx2f7XZ7sfcTAACUHy6/gtSkSROlpqZq+/btGjVqlKKiorRv3z6X9hQXFyc/Pz/HFBwc7NJ+AABA6XJ5QPLy8lKjRo3Utm1bxcXFqVWrVpozZ44CAwOVk5OjzMxMp/r09HQFBgZKkgIDAws81Zb/+ddqbDbbNa8eSVJMTIyysrIc04kTJ0piVwEAQDnh8oBklZeXp+zsbLVt21aenp5KSkpyzDt48KCOHz+usLAwSVJYWJh2796tjIwMR826detks9kUGhrqqLl6Hfk1+eu4Fm9vb8erB/InAABw53DpPUgxMTHq2bOn6tatq7Nnz2rJkiXatGmT1qxZIz8/Pw0bNkwTJkxQtWrVZLPZNGbMGIWFhaljx46SpO7duys0NFSDBw/WjBkzlJaWpilTpig6Olre3t6SpKefflrz58/XpEmT9OSTT2rDhg1atmyZEhJ4YgIAAFybSwNSRkaGnnjiCf3444/y8/NTy5YttWbNGj388MOSpFmzZsnd3V39+vVTdna2IiIi9MYbbziWr1ChglatWqVRo0YpLCxMlStXVlRUlGJjYx01ISEhSkhI0Pjx4zVnzhzVqVNHb731liIiIkp9fwEAQPlQ5t6DVBbxHiTc7ngHDXgPElyN9yABAACUcQQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwKFJAatCggU6fPl1gPDMzUw0aNCh2UwAAAK5UpID03XffKTc3t8B4dna2fvjhh2I3BQAA4EqFepP2xx9/7Pjv/J8DyZebm6ukpCTVr1+/xJoDAABwhUIFpD59+kiS3NzcFBUV5TTP09NT9evX1+uvv15izQEAALhCoQJSXl6epF9+32zHjh2qUaPGLWkKAADAlYr0Y7VHjx4t6T4AAADKjCIFJElKSkpSUlKSMjIyHFeW8r399tvFbgwAAMBVihSQpk+frtjYWLVr1061a9eWm5tbSfcFAADgMkUKSAsXLlR8fLwGDx5c0v0AAAC4XJHeg5STk6NOnTqVdC8AAABlQpEC0vDhw7VkyZKS7gUAAKBMKNJXbJcuXdI//vEPrV+/Xi1btpSnp6fT/JkzZ5ZIcwAAAK5QpIC0a9cutW7dWpK0Z88ep3ncsA0AAMq7IgWkjRs3lnQfAAAAZUaR7kECAAC4nRXpClLXrl1v+FXahg0bitwQAACAqxUpIOXff5Tv8uXLSk1N1Z49ewr8iC0AAEB5U6SANGvWrGuOv/jiizp37lyxGgIAAHC1Er0H6Q9/+AO/wwYAAMq9Eg1IycnJ8vHxKclVAgAAlLoifcXWt29fp8/GGP3444/66quv9MILL5RIYwAAAK5SpIDk5+fn9Nnd3V1NmjRRbGysunfvXiKNAQAAuEqRAtI777xT0n0AAACUGUUKSPlSUlK0f/9+SVLz5s117733lkhTAAAArlSkgJSRkaEBAwZo06ZN8vf3lyRlZmaqa9euev/991WzZs2S7BEAAKBUFekptjFjxujs2bPau3evzpw5ozNnzmjPnj2y2+165plnSrpHAACAUlWkK0iJiYlav369mjVr5hgLDQ3VggULuEkbAACUe0W6gpSXlydPT88C456ensrLyyt2UwAAAK5UpID00EMPaezYsTp58qRj7IcfftD48ePVrVu3EmsOAADAFYoUkObPny+73a769eurYcOGatiwoUJCQmS32zVv3ryS7hEAAKBUFekepODgYH399ddav369Dhw4IElq1qyZwsPDS7Q5AAAAVyjUFaQNGzYoNDRUdrtdbm5uevjhhzVmzBiNGTNG9913n5o3b67PPvvsVvUKAABQKgoVkGbPnq0RI0bIZrMVmOfn56ennnpKM2fOLLHmAAAAXKFQAembb75Rjx49rju/e/fuSklJKXZTAAAArlSogJSenn7Nx/vzeXh46NSpU8VuCgAAwJUKFZDuuusu7dmz57rzd+3apdq1axe7KQAAAFcqVEB65JFH9MILL+jSpUsF5l28eFHTpk1Tr169Sqw5AAAAVyjUY/5TpkzRhx9+qLvvvlujR49WkyZNJEkHDhzQggULlJubqz//+c+3pFEAAIDSUqiAFBAQoG3btmnUqFGKiYmRMUaS5ObmpoiICC1YsEABAQG3pFEAAIDSUugXRdarV0+ffvqpfv75Zx0+fFjGGDVu3FhVq1a9Ff0BAACUuiK9SVuSqlatqvvuu68kewEAACgTivRbbAAAALczAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWLg0IMXFxem+++5TlSpVVKtWLfXp00cHDx50qrl06ZKio6NVvXp1+fr6ql+/fkpPT3eqOX78uCIjI1WpUiXVqlVLEydO1JUrV5xqNm3apDZt2sjb21uNGjVSfHz8rd49AABQTrk0IG3evFnR0dH64osvtG7dOl2+fFndu3fX+fPnHTXjx4/XJ598ouXLl2vz5s06efKk+vbt65ifm5uryMhI5eTkaNu2bVq0aJHi4+M1depUR83Ro0cVGRmprl27KjU1VePGjdPw4cO1Zs2aUt1fAABQPrgZY4yrm8h36tQp1apVS5s3b9aDDz6orKws1axZU0uWLFH//v0lSQcOHFCzZs2UnJysjh07avXq1erVq5dOnjypgIAASdLChQs1efJknTp1Sl5eXpo8ebISEhK0Z88ex7YGDBigzMxMJSYm/mpfdrtdfn5+ysrKks1muzU7D7hQ/ecSXN0CXOy7VyNdun3OQdyKc7A4/36XqXuQsrKyJEnVqlWTJKWkpOjy5csKDw931DRt2lR169ZVcnKyJCk5OVktWrRwhCNJioiIkN1u1969ex01V68jvyZ/HVbZ2dmy2+1OEwAAuHOUmYCUl5encePG6f7779c999wjSUpLS5OXl5f8/f2dagMCApSWluaouToc5c/Pn3ejGrvdrosXLxboJS4uTn5+fo4pODi4RPYRAACUD2UmIEVHR2vPnj16//33Xd2KYmJilJWV5ZhOnDjh6pYAAEAp8nB1A5I0evRorVq1Slu2bFGdOnUc44GBgcrJyVFmZqbTVaT09HQFBgY6ar788kun9eU/5XZ1jfXJt/T0dNlsNlWsWLFAP97e3vL29i6RfQMAAOWPS68gGWM0evRoffTRR9qwYYNCQkKc5rdt21aenp5KSkpyjB08eFDHjx9XWFiYJCksLEy7d+9WRkaGo2bdunWy2WwKDQ111Fy9jvya/HUAAABczaVXkKKjo7VkyRKtXLlSVapUcdwz5Ofnp4oVK8rPz0/Dhg3ThAkTVK1aNdlsNo0ZM0ZhYWHq2LGjJKl79+4KDQ3V4MGDNWPGDKWlpWnKlCmKjo52XAV6+umnNX/+fE2aNElPPvmkNmzYoGXLlikhgacmAABAQS69gvT3v/9dWVlZ6tKli2rXru2Yli5d6qiZNWuWevXqpX79+unBBx9UYGCgPvzwQ8f8ChUqaNWqVapQoYLCwsL0hz/8QU888YRiY2MdNSEhIUpISNC6devUqlUrvf7663rrrbcUERFRqvsLAADKhzL1HqSyivcg4XbHO2jAe5DgarwHCQAAoIwjIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAAC5cGpC1btujRRx9VUFCQ3NzctGLFCqf5xhhNnTpVtWvXVsWKFRUeHq5Dhw451Zw5c0aDBg2SzWaTv7+/hg0bpnPnzjnV7Nq1S7/5zW/k4+Oj4OBgzZgx41bvGgAAKMc8XLnx8+fPq1WrVnryySfVt2/fAvNnzJihuXPnatGiRQoJCdELL7ygiIgI7du3Tz4+PpKkQYMG6ccff9S6det0+fJlDR06VCNHjtSSJUskSXa7Xd27d1d4eLgWLlyo3bt368knn5S/v79GjhxZqvt7PfWfS3B1C3Cx716NdHULAICruDQg9ezZUz179rzmPGOMZs+erSlTpqh3796SpH/9618KCAjQihUrNGDAAO3fv1+JiYnasWOH2rVrJ0maN2+eHnnkEb322msKCgrS4sWLlZOTo7ffflteXl5q3ry5UlNTNXPmzDITkAAAQNlSZu9BOnr0qNLS0hQeHu4Y8/PzU4cOHZScnCxJSk5Olr+/vyMcSVJ4eLjc3d21fft2R82DDz4oLy8vR01ERIQOHjyon3/++Zrbzs7Olt1ud5oAAMCdo8wGpLS0NElSQECA03hAQIBjXlpammrVquU038PDQ9WqVXOqudY6rt6GVVxcnPz8/BxTcHBw8XcIAACUG2U2ILlSTEyMsrKyHNOJEydc3RIAAChFZTYgBQYGSpLS09OdxtPT0x3zAgMDlZGR4TT/ypUrOnPmjFPNtdZx9TasvL29ZbPZnCYAAHDnKLMBKSQkRIGBgUpKSnKM2e12bd++XWFhYZKksLAwZWZmKiUlxVGzYcMG5eXlqUOHDo6aLVu26PLly46adevWqUmTJqpatWop7Q0AAChPXBqQzp07p9TUVKWmpkr65cbs1NRUHT9+XG5ubho3bpxefvllffzxx9q9e7eeeOIJBQUFqU+fPpKkZs2aqUePHhoxYoS+/PJLbd26VaNHj9aAAQMUFBQkSXr88cfl5eWlYcOGae/evVq6dKnmzJmjCRMmuGivAQBAWefSx/y/+uorde3a1fE5P7RERUUpPj5ekyZN0vnz5zVy5EhlZmbqgQceUGJiouMdSJK0ePFijR49Wt26dZO7u7v69eunuXPnOub7+flp7dq1io6OVtu2bVWjRg1NnTqVR/wBAMB1uTQgdenSRcaY6853c3NTbGysYmNjr1tTrVo1x0shr6dly5b67LPPitwnAAC4s5TZe5AAAABchYAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFjcUQFpwYIFql+/vnx8fNShQwd9+eWXrm4JAACUQXdMQFq6dKkmTJigadOm6euvv1arVq0UERGhjIwMV7cGAADKmDsmIM2cOVMjRozQ0KFDFRoaqoULF6pSpUp6++23Xd0aAAAoY+6IgJSTk6OUlBSFh4c7xtzd3RUeHq7k5GQXdgYAAMoiD1c3UBp++ukn5ebmKiAgwGk8ICBABw4cKFCfnZ2t7Oxsx+esrCxJkt1uvyX95WVfuCXrRflxq86tm8U5CM5BuNqtOAfz12mMKfSyd0RAKqy4uDhNnz69wHhwcLALusGdwG+2qzvAnY5zEK52K8/Bs2fPys/Pr1DL3BEBqUaNGqpQoYLS09OdxtPT0xUYGFigPiYmRhMmTHB8zsvL05kzZ1S9enW5ubk51drtdgUHB+vEiROy2Wy3ZgduYxy/4uMYFg/Hr/g4hsXD8Su+6x1DY4zOnj2roKCgQq/zjghIXl5eatu2rZKSktSnTx9Jv4SepKQkjR49ukC9t7e3vL29ncb8/f1vuA2bzcaJXQwcv+LjGBYPx6/4OIbFw/Ervmsdw8JeOcp3RwQkSZowYYKioqLUrl07tW/fXrNnz9b58+c1dOhQV7cGAADKmDsmID322GM6deqUpk6dqrS0NLVu3VqJiYkFbtwGAAC4YwKSJI0ePfqaX6kVh7e3t6ZNm1bgKzncHI5f8XEMi4fjV3wcw+Lh+BXfrTiGbqYoz74BAADcxu6IF0UCAAAUBgEJAADAgoAEAABgQUACAACwICAVwSuvvKJOnTqpUqVKv/oCyXxDhgyRm5ub09SjR49b22gZVZTjZ4zR1KlTVbt2bVWsWFHh4eE6dOjQrW20DDtz5owGDRokm80mf39/DRs2TOfOnbvhMl26dClwDj799NOl1LFrLViwQPXr15ePj486dOigL7/88ob1y5cvV9OmTeXj46MWLVro008/LaVOy67CHMP4+PgC55qPj08pdlu2bNmyRY8++qiCgoLk5uamFStW/OoymzZtUps2beTt7a1GjRopPj7+lvdZlhX2GG7atKnAOejm5qa0tLSb3iYBqQhycnL0u9/9TqNGjSrUcj169NCPP/7omP7973/fog7LtqIcvxkzZmju3LlauHChtm/frsqVKysiIkKXLl26hZ2WXYMGDdLevXu1bt06rVq1Slu2bNHIkSN/dbkRI0Y4nYMzZswohW5da+nSpZowYYKmTZumr7/+Wq1atVJERIQyMjKuWb9t2zYNHDhQw4YN086dO9WnTx/16dNHe/bsKeXOy47CHkPplzcaX32uHTt2rBQ7LlvOnz+vVq1aacGCBTdVf/ToUUVGRqpr165KTU3VuHHjNHz4cK1Zs+YWd1p2FfYY5jt48KDTeVirVq2bX9igyN555x3j5+d3U7VRUVGmd+/et7Sf8uZmj19eXp4JDAw0f/vb3xxjmZmZxtvb2/z73/++hR2WTfv27TOSzI4dOxxjq1evNm5ubuaHH3647nKdO3c2Y8eOLYUOy5b27dub6Ohox+fc3FwTFBRk4uLirln/+9//3kRGRjqNdejQwTz11FO3tM+yrLDHsDB/N95pJJmPPvrohjWTJk0yzZs3dxp77LHHTERExC3srPy4mWO4ceNGI8n8/PPPRd4OV5BK0aZNm1SrVi01adJEo0aN0unTp13dUrlw9OhRpaWlKTw83DHm5+enDh06KDk52YWduUZycrL8/f3Vrl07x1h4eLjc3d21ffv2Gy67ePFi1ahRQ/fcc49iYmJ04cKFW92uS+Xk5CglJcXp3HF3d1d4ePh1z53k5GSnekmKiIi4I881qWjHUJLOnTunevXqKTg4WL1799bevXtLo93bAudgyWndurVq166thx9+WFu3bi3UsnfUm7RdqUePHurbt69CQkJ05MgRPf/88+rZs6eSk5NVoUIFV7dXpuV/Z2z9WZiAgIBCfZ98u0hLSytwmdjDw0PVqlW74fF4/PHHVa9ePQUFBWnXrl2aPHmyDh48qA8//PBWt+wyP/30k3Jzc6957hw4cOCay6SlpXGuXaUox7BJkyZ6++231bJlS2VlZem1115Tp06dtHfvXtWpU6c02i7XrncO2u12Xbx4URUrVnRRZ+VH7dq1tXDhQrVr107Z2dl666231KVLF23fvl1t2rS5qXUQkP7Pc889p7/+9a83rNm/f7+aNm1apPUPGDDA8d8tWrRQy5Yt1bBhQ23atEndunUr0jrLklt9/O4EN3sMi+rqe5RatGih2rVrq1u3bjpy5IgaNmxY5PUCVmFhYQoLC3N87tSpk5o1a6Y333xTL730kgs7w52iSZMmatKkieNzp06ddOTIEc2aNUvvvvvuTa2DgPR/nn32WQ0ZMuSGNQ0aNCix7TVo0EA1atTQ4cOHb4uAdCuPX2BgoCQpPT1dtWvXdoynp6erdevWRVpnWXSzxzAwMLDAzbFXrlzRmTNnHMfqZnTo0EGSdPjw4ds2INWoUUMVKlRQenq603h6evp1j1VgYGCh6m93RTmGVp6enrr33nt1+PDhW9Hibed656DNZuPqUTG0b99en3/++U3XE5D+T82aNVWzZs1S297333+v06dPO/2DX57dyuMXEhKiwMBAJSUlOQKR3W7X9u3bC/0kYVl2s8cwLCxMmZmZSklJUdu2bSVJGzZsUF5eniP03IzU1FRJum3OwWvx8vJS27ZtlZSUpD59+kiS8vLylJSUdN0frg4LC1NSUpLGjRvnGFu3bp3TFZE7SVGOoVVubq52796tRx555BZ2evsICwsr8GqJO/kcLCmpqamF+/uuyLd338GOHTtmdu7caaZPn258fX3Nzp07zc6dO83Zs2cdNU2aNDEffvihMcaYs2fPmj/96U8mOTnZHD161Kxfv960adPGNG7c2Fy6dMlVu+EyhT1+xhjz6quvGn9/f7Ny5Uqza9cu07t3bxMSEmIuXrzoil1wuR49eph7773XbN++3Xz++eemcePGZuDAgY7533//vWnSpInZvn27McaYw4cPm9jYWPPVV1+Zo0ePmpUrV5oGDRqYBx980FW7UGref/994+3tbeLj482+ffvMyJEjjb+/v0lLSzPGGDN48GDz3HPPOeq3bt1qPDw8zGuvvWb2799vpk2bZjw9Pc3u3btdtQsuV9hjOH36dLNmzRpz5MgRk5KSYgYMGGB8fHzM3r17XbULLnX27FnH33OSzMyZM83OnTvNsWPHjDHGPPfcc2bw4MGO+m+//dZUqlTJTJw40ezfv98sWLDAVKhQwSQmJrpqF1yusMdw1qxZZsWKFebQoUNm9+7dZuzYscbd3d2sX7/+prdJQCqCqKgoI6nAtHHjRkeNJPPOO+8YY4y5cOGC6d69u6lZs6bx9PQ09erVMyNGjHD85XKnKezxM+aXR/1feOEFExAQYLy9vU23bt3MwYMHS7/5MuL06dNm4MCBxtfX19hsNjN06FCngHn06FGnY3r8+HHz4IMPmmrVqhlvb2/TqFEjM3HiRJOVleWiPShd8+bNM3Xr1jVeXl6mffv25osvvnDM69y5s4mKinKqX7Zsmbn77ruNl5eXad68uUlISCjljsuewhzDcePGOWoDAgLMI488Yr7++msXdF025D9ybp3yj1lUVJTp3LlzgWVat25tvLy8TIMGDZz+PrwTFfYY/vWvfzUNGzY0Pj4+plq1aqZLly5mw4YNhdqmmzHGFPu6FQAAwG2E9yABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAJwx4qPj5e/v3+x1+Pm5qYVK1YUez0Ayg4CEoBybciQIY7fCAOAkkJAAgAAsCAgAbhtzZw5Uy1atFDlypUVHBysP/7xjzp37lyBuhUrVqhx48by8fFRRESETpw44TR/5cqVatOmjXx8fNSgQQNNnz5dV65cKa3dAOACBCQAty13d3fNnTtXe/fu1aJFi7RhwwZNmjTJqebChQt65ZVX9K9//Utbt25VZmamBgwY4Jj/2Wef6YknntDYsWO1b98+vfnmm4qPj9crr7xS2rsDoBTxY7UAyrUhQ4YoMzPzpm6S/uCDD/T000/rp59+kvTLTdpDhw7VF198oQ4dOkiSDhw4oGbNmmn79u1q3769wsPD1a1bN8XExDjW895772nSpEk6efKkpF9u0v7oo4+4Fwq4jXi4ugEAuFXWr1+vuLg4HThwQHa7XVeuXNGlS5d04cIFVapUSZLk4eGh++67z7FM06ZN5e/vr/3796t9+/b65ptvtHXrVqcrRrm5uQXWA+D2QkACcFv67rvv1KtXL40aNUqvvPKKqlWrps8//1zDhg1TTk7OTQebc+fOafr06erbt2+BeT4+PiXdNoAygoAE4LaUkpKivLw8vf7663J3/+V2y2XLlhWou3Llir766iu1b99eknTw4EFlZmaqWbNmkqQ2bdro4MGDatSoUek1D8DlCEgAyr2srCylpqY6jdWoUUOXL1/WvHnz9Oijj2rr1q1auHBhgWU9PT01ZswYzZ07Vx4eHho9erQ6duzoCExTp05Vr169VLduXfXv31/u7u765ptvtGfPHr388sulsXsAXICn2ACUe5s2bdK9997rNL377ruaOXOm/vrXv+qee+7R4sWLFRcXV2DZSpUqafLkyXr88cd1//33y9fXV0uXLnXMj4iI0KpVq7R27Vrdd9996tixo2bNmqV69eqV5i4CKGU8xQYAAGDBFSQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYPH/AMvW3qx45MtKAAAAAElFTkSuQmCC\n"},"metadata":{}}],"source":["# Plot the distribution of labels\n","label_counts = train_data['label'].value_counts()\n","plt.bar(label_counts.index, label_counts.values)\n","plt.xlabel('Label')\n","plt.ylabel('Count')\n","plt.title('Distribution of Labels')\n","plt.show()"]},{"cell_type":"code","execution_count":13,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IgInjDL0vkWd","executionInfo":{"status":"ok","timestamp":1694935876638,"user_tz":0,"elapsed":26,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"5c596773-2f86-42ec-aad0-34bb07a26ba7"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["1.000000    5866\n","0.666667    3894\n","0.333333     239\n","Name: agreement, dtype: int64"]},"metadata":{},"execution_count":13}],"source":["# The count of the agrremtns\n","train_data.agreement.value_counts()"]},{"cell_type":"code","execution_count":14,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"b9AF_bZ1vkWd","executionInfo":{"status":"ok","timestamp":1694935876639,"user_tz":0,"elapsed":25,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"156216bb-326e-41c0-f136-2f4e8978d45b"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Plot the distribution of 'agreement'\n","plt.hist(train_data['agreement'])\n","plt.xlabel('Agreement')\n","plt.ylabel('Count')\n","plt.title('Distribution of Agreement')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"13tGOq0nvkWd"},"source":["The distribution of sentiments in the dataset, as depicted by the count plot, shows the prevalence of different sentiment labels within the Twitter posts related to COVID-19 vaccinations.\n","* Sentiment Label 0 (Neutral):\n","The sentiment label \"0\" (neutral) has the highest count, with approximately 5000 instances. This suggests that a significant portion of the collected tweets exhibit a neutral sentiment when it comes to discussing COVID-19 vaccinations. Neutral sentiments often indicate that the tweets may not strongly express positive or negative opinions but rather present factual information or observations.\n","\n","* Sentiment Label 1 (Positive):\n","The sentiment label \"1\" (positive) follows with around 4000 instances. This indicates that a substantial number of tweets show a positive sentiment towards COVID-19 vaccinations. These tweets might express support for vaccinations, share positive experiences, or provide information about vaccination availability and benefits.\n","\n","* Sentiment Label -1 (Negative):\n","The sentiment label \"-1\" (negative) has the lowest count, with approximately 1000 instances. This suggests that a relatively smaller portion of the collected tweets exhibit a negative sentiment towards COVID-19 vaccinations. Negative sentiments can encompass concerns, skepticism, or criticism about the vaccines, their safety, or potential side effects."]},{"cell_type":"code","execution_count":15,"metadata":{"id":"VAngL2XgvkWe","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694935876640,"user_tz":0,"elapsed":25,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"c0b9131e-8ac2-42ca-e8ce-1494058c4fad"},"outputs":[{"output_type":"stream","name":"stdout","text":["Correlation: 0.13815479087588003\n"]}],"source":["# Calculate the correlation between 'label' and 'agreement'\n","correlation = df_train['label'].corr(df_train['agreement'])\n","\n","# Print the correlation value\n","print(f\"Correlation: {correlation}\")"]},{"cell_type":"code","execution_count":16,"metadata":{"id":"YvAN38HBvkWe","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694935877226,"user_tz":0,"elapsed":609,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"c960a15c-47da-4cce-c7fb-fa23bb875e51"},"outputs":[{"output_type":"stream","name":"stdout","text":["max review_legnth : 153\n","min review_legnth : 3\n"]}],"source":["#Checking the length of the reviews\n","review_legnth = train_data.safe_text.str.len()\n","\n","max(review_legnth)\n","\n","#Legnth of the shortest review\n","min(review_legnth)\n","\n","print(f\"max review_legnth : {max(review_legnth)}\")\n","print(f\"min review_legnth : {min(review_legnth)}\")"]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":441},"id":"mRM76hy9vkWf","executionInfo":{"status":"ok","timestamp":1694935880480,"user_tz":0,"elapsed":3258,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"3bc62c11-b19f-425b-da2d-d532b07fe432"},"outputs":[{"output_type":"stream","name":"stdout","text":["[('<url>', 4612), ('<user>', 4517), ('to', 3407), ('the', 3388), ('of', 2196), ('a', 2133), ('in', 1897), ('and', 1827), ('measles', 1747), ('I', 1604)]\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["#Having a word count\n","\n","# Concatenate all the 'safe_text' into a single string\n","text = ' '.join(train_data['safe_text'])\n","\n","# Split the text into words\n","words = text.split()\n","\n","# Count the frequency of each word\n","word_counts = Counter(words)\n","\n","# Display the most common words\n","print(word_counts.most_common(10))\n","\n","# Generate the word cloud with a white background\n","cloud_two_cities = WordCloud(width=800, height=400, background_color='white').generate(text)\n","\n","# Display the word cloud\n","plt.figure(figsize=(8, 5))\n","plt.imshow(cloud_two_cities, interpolation='bilinear')\n","plt.axis('off')\n","plt.tight_layout(pad=1)\n","plt.show()\n"]},{"cell_type":"code","execution_count":18,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":472},"id":"SCTGaVKYvkWf","executionInfo":{"status":"ok","timestamp":1694935882076,"user_tz":0,"elapsed":1603,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"ca32e0ca-13fd-4780-e98f-bfc685d73ae1"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["# Calculate the length of each text in 'safe_text'\n","text_lengths = train_data['safe_text'].apply(len)\n","\n","# Plot the distribution of text lengths\n","plt.hist(text_lengths)\n","plt.xlabel('Text Length')\n","plt.ylabel('Count')\n","plt.title('Distribution of Text Lengths')\n","plt.show()"]},{"cell_type":"markdown","metadata":{"id":"giNALl4ZvkWg"},"source":["#### DATA CLEANING"]},{"cell_type":"markdown","metadata":{"id":"KaT-Ct8fvkWg"},"source":["Issues to treat:\n","\n","\n","*   Remove unneccesary columns.\n","*   Remove emojis and other characters from safe text column.\n","*   Remove punctuations from the safe text column\n","*   Changing all text to lower cases.\n"]},{"cell_type":"code","execution_count":19,"metadata":{"id":"nNfmNYHavkWg","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694935882077,"user_tz":0,"elapsed":42,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"2f2e5c14-9ab3-48e0-f7af-40ea2e6725d7"},"outputs":[{"output_type":"stream","name":"stdout","text":["the missing values in the df_train dataset are:  \n","\n"," tweet_id     0\n","safe_text    0\n","label        0\n","agreement    0\n","dtype: int64 \n","\n"," ------------------------------------------------------------\n","the missing values in the df_test dataset are:  \n","\n"," tweet_id     0\n","safe_text    0\n","dtype: int64 \n","\n"," ------------------------------------------------------------\n"]}],"source":["#Checking for mIssing values\n","data=[train_data, test_data]\n","names=[\"df_train\", \"df_test\"]\n","\n","for m, i in zip(data, names):\n","  print(f\"the missing values in the\", i,\"dataset are: \", \"\\n\\n\", m.isna().sum(), \"\\n\\n\", \"---\"*20 )"]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GrO5SOM_vkWh","executionInfo":{"status":"ok","timestamp":1694935882078,"user_tz":0,"elapsed":38,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"0f80b443-3d00-45de-c779-545db995f146"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0"]},"metadata":{},"execution_count":20}],"source":["#check for duplicates\n","train_data.duplicated().sum()"]},{"cell_type":"code","execution_count":21,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jWbAWWTUvkWh","executionInfo":{"status":"ok","timestamp":1694935882078,"user_tz":0,"elapsed":37,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"d4a939d5-fb8c-4242-d2bb-2de0d7826338"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["0    me amp the big homie meanboy3000 meanboy mb mb...\n","1    im 100 thinking of devoting my career to provi...\n","2    whatcausesautism vaccines do not vaccinate you...\n","3    i mean if they immunize my kid with something ...\n","4    thanks to user catch me performing at la nuit ...\n","5    user a nearly 67 year old study when mental he...\n","6    study of more than 95000 kids finds no link be...\n","7                      psa vaccinate your fucking kids\n","8    coughing extra on the shuttle and everyone thi...\n","9    aids vaccine created at oregon health amp scie...\n","Name: safe_text, dtype: object"]},"metadata":{},"execution_count":21}],"source":["# Clean the 'safe_text' column (example: remove URLs and special characters)\n","train_data['safe_text'] = train_data['safe_text'].str.replace(r'<url>', '')  # Remove <url> tag\n","test_data['safe_text'] = test_data['safe_text'].str.replace(r'<url>', '')  # Remove <url> tag\n","\n","# Remove emojis and other special characters\n","emojis = re.compile(r'[^\\w\\s@#$%^*()<>/|}{~:&]')\n","train_data[\"safe_text\"] = train_data[\"safe_text\"].str.replace(emojis, '')\n","test_data[\"safe_text\"] = test_data[\"safe_text\"].str.replace(emojis, '')\n","\n","# # Remove punctuation\n","punctuation = string.punctuation\n","train_data[\"safe_text\"] = train_data[\"safe_text\"].str.translate(str.maketrans('', '', punctuation))\n","test_data[\"safe_text\"] = test_data[\"safe_text\"].str.translate(str.maketrans('', '', punctuation))\n","\n","# remove hashtags\n","train_data['safe_text'] = train_data['safe_text'].apply(nfx.remove_hashtags)\n","test_data['safe_text'] = test_data['safe_text'].apply(nfx.remove_hashtags)\n","\n","# Turn the safe_text column into lowercase\n","train_data[\"safe_text\"] = train_data[\"safe_text\"].str.lower()\n","test_data[\"safe_text\"] = test_data[\"safe_text\"].str.lower()\n","\n","# remove multiple white spaces\n","def stripSpace(text):\n","    return text.strip()\n","train_data['safe_text'] = train_data['safe_text'].apply(nfx.remove_multiple_spaces)\n","train_data['safe_text'] = train_data['safe_text'].apply(stripSpace)\n","\n","# remove RT and user handles\n","def removeRT(text):\n","    return text.replace(\"RT\" , \"\")\n","train_data['safe_text'] = train_data['safe_text'].apply(lambda x: nfx.remove_userhandles(x))\n","train_data['safe_text'] = train_data['safe_text'].apply(removeRT)\n","\n","#Preview of the safe text column\n","train_data['safe_text'].head(10)"]},{"cell_type":"code","execution_count":22,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ix2kGB1AvkWh","executionInfo":{"status":"ok","timestamp":1694935882079,"user_tz":0,"elapsed":36,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"1101b1ba-a6b0-4264-95a2-a94f14dc79b2"},"outputs":[{"output_type":"stream","name":"stderr","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data]   Unzipping corpora/stopwords.zip.\n"]},{"output_type":"execute_result","data":{"text/plain":["True"]},"metadata":{},"execution_count":22}],"source":["#REMOVING STOPWORDS\n","# Download the stop words (only required for the first time)\n","nltk.download('stopwords')"]},{"cell_type":"code","execution_count":23,"metadata":{"id":"gZuOmBWEvkWh","executionInfo":{"status":"ok","timestamp":1694935882079,"user_tz":0,"elapsed":33,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Remove stop words\n","stop_words = set(stopwords.words('english'))\n","train_data['safe_text'] = train_data['safe_text'].apply(lambda x: ' '.join([word for word in x.split() if word.lower() not in stop_words]))\n","test_data['safe_text'] = test_data['safe_text'].apply(lambda x: ' '.join([word for word in x.split() if word.lower() not in stop_words]))\n"]},{"cell_type":"markdown","metadata":{"id":"3fiz-b7rvkWh"},"source":["# Export DataFrame as CSV"]},{"cell_type":"code","execution_count":24,"metadata":{"id":"L8Ifba25vkWi","executionInfo":{"status":"ok","timestamp":1694935882079,"user_tz":0,"elapsed":32,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Save df_train\n","train_data.to_csv('/content/NLP-Sentiment-Analysis/data/train_data.csv', index=False)\n","\n","\n","\n","# Save df_test\n","test_data.to_csv('/content/NLP-Sentiment-Analysis/data/test_data.csv', index=False)"]},{"cell_type":"markdown","metadata":{"id":"SFfTfAmRvkWi"},"source":["#### IMPORTING CLEANED DATASET"]},{"cell_type":"code","execution_count":25,"metadata":{"id":"6RqOQ02IvkWi","executionInfo":{"status":"ok","timestamp":1694935882080,"user_tz":0,"elapsed":33,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Disabe W&B\n","os.environ[\"WANDB_DISABLED\"] = \"true\""]},{"cell_type":"code","execution_count":26,"metadata":{"id":"LUNo3FqUvkWi","executionInfo":{"status":"ok","timestamp":1694935882080,"user_tz":0,"elapsed":33,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Load the dataset and display some values\n","df = pd.read_csv('/content/NLP-Sentiment-Analysis/data/train_data.csv')\n","\n","# A way to eliminate rows containing NaN values\n","df = df[~df.isna().any(axis=1)]"]},{"cell_type":"markdown","metadata":{"id":"cIGfCU-ivkWi"},"source":["I manually split the training set to have a training subset ( a dataset the model will learn on), and an evaluation subset ( a dataset the model with use to compute metric scores to help use to avoid some training problems like [the overfitting](https://www.ibm.com/cloud/learn/overfitting) one ).\n","\n","There are multiple ways to do split the dataset. You'll see two commented line showing you another one."]},{"cell_type":"markdown","metadata":{"id":"WvjdOXSgvkWj"},"source":["#### TRAIN TEST SPLIT"]},{"cell_type":"code","execution_count":27,"metadata":{"id":"WVLT4Vk_vkWk","executionInfo":{"status":"ok","timestamp":1694935882080,"user_tz":0,"elapsed":33,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Split the train data => {train, eval}\n","train, eval = train_test_split(df, test_size=0.2, random_state=42, stratify=df['label'])"]},{"cell_type":"code","execution_count":28,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"6qCrpvDivkWk","executionInfo":{"status":"ok","timestamp":1694935882081,"user_tz":0,"elapsed":34,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"1962eac4-ad18-4e9e-a925-adf8d0183147"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["      tweet_id                                          safe_text  label  \\\n","9303  YMRMEDME                 mickeys measles gone international    0.0   \n","3907  5GV8NEZS  s1256 new extends exemption charitable immunit...    0.0   \n","795   EI10PS46  user ignorance vaccines isnt dangerous innocen...    1.0   \n","5791  OM26E6DG  pakistan partly suspends polio vaccination pro...    0.0   \n","3431  NBBY86FX                        news ive gone like 1000 mmr    0.0   \n","\n","      agreement  \n","9303   1.000000  \n","3907   1.000000  \n","795    0.666667  \n","5791   1.000000  \n","3431   1.000000  "],"text/html":["\n","  <div id=\"df-7130d55d-47c7-4ce7-b2d4-73460f75c304\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" 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'block' : 'none';\n","    })();\n","  </script>\n","</div>\n","    </div>\n","  </div>\n"]},"metadata":{},"execution_count":29}],"source":["eval.head()"]},{"cell_type":"code","execution_count":30,"metadata":{"id":"H8Im3t3ZvkWk","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1694935882082,"user_tz":0,"elapsed":33,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"282a04b5-d6f9-4453-c32a-fba827b62616"},"outputs":[{"output_type":"stream","name":"stdout","text":["new dataframe shapes: train is (7999, 4), eval is (2000, 4)\n"]}],"source":["print(f\"new dataframe shapes: train is {train.shape}, eval is {eval.shape}\")"]},{"cell_type":"markdown","metadata":{"id":"i6OgirN9vkWl"},"source":["#### SAVING THE TRAIN AND EVAL SUBSET"]},{"cell_type":"code","execution_count":31,"metadata":{"id":"2tIfkT_JvkWl","executionInfo":{"status":"ok","timestamp":1694935882082,"user_tz":0,"elapsed":31,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# Save splitted subsets\n","train.to_csv(\"/content/NLP-Sentiment-Analysis/data/train_subset.csv\", index=False)\n","eval.to_csv(\"/content/NLP-Sentiment-Analysis/data/eval_subset.csv\", index=False)"]},{"cell_type":"code","execution_count":32,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["b942967718eb4b76a7c10a0093962229","f3ef60730b8e4a0180179e3cf5f3bed2","886a401bb8be47559256514adb519a89","fc39233015484cd7b1d852b15fb70b4c","158a2c96496d4173ab3e117679ec75b8","a731a7e352f14e5186b1338467620902","425da30494554b9d9c26028ab5e87591","fa745efd91a342a59a7ca1db8678201f","39ebec0fe604432b8782c33757f29826","ff91e681f1754e99bbdcdebd973229ae","e453f6de82fa47acb452a3bc0f81f6a1","f3b7d0195da94ec590046ed3d0da3a85","61810ea9911c4a72ac099baa33d3f28e","f6b03f647cb44e959babbfbf90b0927d","2664970285c640629c0c68fc5fdabeb2","b4e647c703b64e79addc32c17e6e8c42","a13a7ff7251b4573bd8176a2a812bea6","0b89dba2873c47c492f1e3238d7fc1b7","6adb1f0c39c14cc7938d6dc74df6baaa","2bb21502fd134cd3a1c24820fad44c1f","cf28b19c71d44aceb4e123a085d08efc","e0d2fdd8f7ea4ce5ba13f76ebd67e212","95a7305862b74087baeed27f62667304","8f05f5239ec44e2d9f06e84c6710d140","1f8307996c0541ac8db81323c6f70d38","ff4afcd6efce4153b76dabc717fe33ee","eae1dbfefc614e04872d35beb3c903ef","ed187f74e8a14928a83c0b9a1c0beb9d","d4ea2b45e4734241ac279e5e8026c878","ab97befd44f143489c617a50b5217504","6ff38bbcb9ec492dbceaa663f246ceea","e444fc3b53b545a7af6d6b994cdb3df2","edde1ae505414fbf869829e1689de146","90872d06a2454acfb488b970c9feec60","0c8a2cbd838745b9beac44dd79a14dc2","5f6b5d815a534152b95076b40feaa9e7","0153c142cf5f4b45a726a39543bc4134","fba1683d03034c9d81cb1930fcc96dfa","8945627281be455bb0afff3facb11cd9","1587975e7bdd4019aa1c77e8fcdb1c51","25e8e55fdb5b4a8fa850aec6af149a50","7f6f959ca01a4b6f83688b941d8f9a2e","8af8d8b03df14ab59405579dfd8c5b05","22dc6721f88342b0af34a2a5e3b08d62"]},"id":"KuTWvkF9vkWl","executionInfo":{"status":"ok","timestamp":1694935882083,"user_tz":0,"elapsed":32,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"06ceabeb-06b9-4e1a-e1b3-5955d2b90d5d"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading data files:   0%|          | 0/2 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"b942967718eb4b76a7c10a0093962229"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Extracting data files:   0%|          | 0/2 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f3b7d0195da94ec590046ed3d0da3a85"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating train split: 0 examples [00:00, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"95a7305862b74087baeed27f62667304"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Generating eval split: 0 examples [00:00, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"90872d06a2454acfb488b970c9feec60"}},"metadata":{}}],"source":["dataset = load_dataset('csv',\n","                        data_files={'train': '/content/NLP-Sentiment-Analysis/data/train_subset.csv',\n","                        'eval': '/content/NLP-Sentiment-Analysis/data/eval_subset.csv'}, encoding = \"ISO-8859-1\")\n"]},{"cell_type":"code","execution_count":33,"metadata":{"id":"CYgBhVjfvkWl","colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["4d1cf47ed8a244a4a967fe502882f36b","4784ea69d2c84d9494f0c448387841cd","c6de18a8186849e68ade78714de88dec","59fdec40d10c4a88b8682db4631d3402","ba516500478640eaa1dc35c12b5c063d","1e478d7a27f24278bdf7962d82234cc1","9ac9ddaa9d8145a2bed4912729ac104e","48c6c20c6fbf49ea9d8d1294dd95e5e3","7308def7fde942d8ae0be0e24fc1adbf","87613fe7560142fc98b5332aea80eea2","d77036a133834f6982e93e1711129e2a","deb47a7411394eb6ba2d15908e4cf50d","e6bb19c407d24dee9776ec7fa601e674","16272bb315554a4797bf2268b5bdc207","46ff705f4d8d4e9693a17e8f924fa322","53e7f89d0ce34407869fc7be65115d5f","e85a6522c39c4b3cae78fa34c018a65b","478be029138b41e0962318dc8b7a2e56","55660619d012443593eb76471ab13283","0cb6ba990aa444a4ad25a4dad8b1fda6","d0c7c4137b304a8a8d99ef2c2c04c2af","23a62ca1f87c476ca93b23f87d5107e2","f86d5fc118694072b1002457505a4948","ce4f4dba9e474bdc860bac0307da185a","66392e336bf44c078604e3d84556c17a","c7efea786c2244cba230f22990846d89","38f31558acdf4e6388eea7f42a50b6a9","8d7719174cbb4733a77ceaa27ee44309","342b707182284b5badf34c32e9b636b7","3cfecf93c1e042cfb06db6e41920b205","a05a42150a5946dab54363022c625462","09b3081c752c49e18f6cf29aaeaf4264","9f2b37291e5b40458382b22843a33063","fe16188564a94e919f9d9f1d2b9f92a6","65f9ffee50f543b0be9d395eb3ae3401","116c4e72aefd4938839cb83cd00c62eb","e7dbb4996c944eb8ab9d4cf3e6a393aa","de8741ba2a534b41b09141f564eb6338","cb048954b6424ab9937fe589a7827695","1c6736a968064b908956d9ba951a971c","e28118026e834338a060c6a8dececfeb","529e4e5b58bb4d4a84147181249ec2bd","51621d37cc5841f1901544efa687fa44","858043dda2194b619d63ab18f2fabb56"]},"executionInfo":{"status":"ok","timestamp":1694935883664,"user_tz":0,"elapsed":1607,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"c9d49c46-b8a6-4878-8d01-8e5895f69b01"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading (…)lve/main/config.json:   0%|          | 0.00/481 [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"4d1cf47ed8a244a4a967fe502882f36b"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/vocab.json:   0%|          | 0.00/899k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"deb47a7411394eb6ba2d15908e4cf50d"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)olve/main/merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"f86d5fc118694072b1002457505a4948"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Downloading (…)/main/tokenizer.json:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"fe16188564a94e919f9d9f1d2b9f92a6"}},"metadata":{}}],"source":["#Setting our tokenizer\n","tokenizer = AutoTokenizer.from_pretrained(\"roberta-base\")"]},{"cell_type":"code","execution_count":34,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["a33c9b49d685491b993741938962fd06","f2bea6e69a614e40b63c6cbfe09c7a87","bb775294b0014747955a9535ae715291","cb0239af5bce4258b08e2882e017a0ec","155110574ec941d6899477374f699ab3","c7d633c903424fc5ad7abe93ce2025e0","bccea64918c6413d8c6328d4a8191844","a58beebbec1a428f9cad7dfd64d16bf3","fdf66f817fda4fd78dffd65f0185cf8b","106ab03a0cc745fb9a96fd3d3b544778","252eb12eef1446db8f361a31fdf92249","1a237c8e30c44e7ea20a92733d6fba03","1b18c4e20ff44c5b9347dea7090d06e0","b519fcc44c8540fa9abb711ca0fef893","3ac4a2b4f25142088f5ac9f485813dca","79df423eacfb47d4b207912f8cb2cea2","1d1d7d78bdfe4e57ab7a1b08fa848455","8585ce3e887a46658b7aa49ffe5fddf8","5bbb3f20ac9542139ed6d4d3b674abd7","ca9d581d20c0425ba1a703528fa04b03","990d509951404aa8a5ee582d75626e08","619b5c749f9a4ab594860e72a65b658c","cf8c21c98c334734a1cef0b4e3f0a23a","26fc2613f7a249ab88d87bc5f57d6f91","131c3781d6274a2a8cfbd230d96665ae","95940f8a85b641d2b8f88575da88255b","c60f321f8861494db28c0019650e6361","27b1f2fe8b124d8898e2d026e1147b03","7e2b05a2939444a28bfb5ad3a04f5101","6ae9bf8bd14447dc9be45aa027821c83","0cd54d25dd284047a429ed39df30c5ec","a6b618948ce247329025da08da9d859a","073f340c77b743728eef628d927ff2d5","215a3d46821d468d835d75d882873c8e","167211ec06324e16b1c3005d0931f09d","89dea1990327404ba454c1b1a274525b","70a0fc419d564830b67f07ab486b44d5","3b2dfe21d73243459fd1bd3f7424e110","c886baf1aa594c92b1cf43da46ec7ba1","9012e18207114f9ead377c4c03af783e","24ededd3abc34bb7b580ed56d8e58ac3","dd89c0c2f3e740a2990b9942c73bb894","dcc7b9e044a04db49ad52ca94f04c375","b0d65fca244f4849b35dd818aac8b9fe"]},"id":"c3vlOEOBvkWm","executionInfo":{"status":"ok","timestamp":1694935887690,"user_tz":0,"elapsed":4035,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"44366bac-e1ae-432c-dd9e-c4dcfa512e5a"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/7999 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"a33c9b49d685491b993741938962fd06"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/2000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"1a237c8e30c44e7ea20a92733d6fba03"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/7999 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"cf8c21c98c334734a1cef0b4e3f0a23a"}},"metadata":{}},{"output_type":"display_data","data":{"text/plain":["Map:   0%|          | 0/2000 [00:00<?, ? examples/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"215a3d46821d468d835d75d882873c8e"}},"metadata":{}}],"source":["# Function to transform labels\n","def transform_labels(label):\n","\n","    label = label['label']\n","    num = 0\n","    if label == -1: #'Negative'\n","        num = 0\n","    elif label == 0: #'Neutral'\n","        num = 1\n","    elif label == 1: #'Positive'\n","        num = 2\n","\n","    return {'labels': num}\n","\n","# Function to tokenize data\n","def tokenize_data(example):\n","    return tokenizer(example['safe_text'], padding='max_length')\n","\n","# Change the tweets to tokens that the models can exploit\n","dataset = dataset.map(tokenize_data, batched=True)\n","\n","# Transform\tlabels and remove the unwanted columns\n","remove_columns = ['tweet_id', 'label', 'safe_text', 'agreement']\n","dataset = dataset.map(transform_labels, remove_columns=remove_columns)"]},{"cell_type":"code","execution_count":35,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"JvALNT0yvkWm","executionInfo":{"status":"ok","timestamp":1694935887691,"user_tz":0,"elapsed":11,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"41d274a3-5494-4d90-a6b2-3f4ae9bc74e5"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["DatasetDict({\n","    train: Dataset({\n","        features: ['input_ids', 'attention_mask', 'labels'],\n","        num_rows: 7999\n","    })\n","    eval: Dataset({\n","        features: ['input_ids', 'attention_mask', 'labels'],\n","        num_rows: 2000\n","    })\n","})"]},"metadata":{},"execution_count":35}],"source":["dataset"]},{"cell_type":"code","execution_count":36,"metadata":{"id":"E6FAB8-tvkWm","executionInfo":{"status":"ok","timestamp":1694935887693,"user_tz":0,"elapsed":11,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["# dataset['train']"]},{"cell_type":"code","source":["from huggingface_hub import notebook_login\n","\n","notebook_login()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":145,"referenced_widgets":["dc777fe2ab354b04b8354bfb0000fb0c","e5b851eb4eb942a58a46b64f1cb7d9a1","588971e97b5740ddacacccf4e9c3f910","f1247a378d5a4dc4945e8b22351fa639","5b4f4171d18a4016b3daafcde5fafe7e","43998c7fe593428b82ebecc8e3005e18","e3509a0d7a5f4c508a6535330aab00ec","f1e69c9f6cb846f99be147ccfff326df","abc4a3f1bc494f02ba80db2174c3aaeb","384be34e6f84490e85dff97bc55661ca","c96b7a380bbb46d69f1c197b1412bf85","8727999d427548dea3671a55f031c39c","990cbe9d259844939a3d187f1fff72fc","5f8615202ea14993b28a2dc4c70537e0","ded89f870f9d4c90980b134b97212775","0dc1d32d973e426fab8f1563b32cdeb3","ae49f73265184f5f93e9059e7e6d27cb","c264c741e9fd4874908abcab2eae2631","61a5a370cad347e4945688c12dc79caa","257b83d697174918b49372a308411bc3","c97e31941a6c4ddbb0978b5b4d3d9d42","51e6eb58593d48fcb35be88327967f9b","1b21fefcedda474892c48cf86fe3a36c","29fdab2cab0c4c27a429097f875e49e0","868d1dfc0ffe44ada7260ddb4a2637d7","915a6b6bc4374ae2840097e449b3443c","76e5a13ede9548e7b375d957375230a6","b2326625540d436eb458f75d9c895f55","5fd5681eeedb41e498574407da946e0a","ccfb2505a5604905a81b70de6838e362","0d9b0b359cf44914b9d1cb00325130bf","c9b2b4a7b214409db2d45b3d83a3882e"]},"id":"g_R-XZdFp7sF","executionInfo":{"status":"ok","timestamp":1694935888092,"user_tz":0,"elapsed":410,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"d7e32009-b0ce-4411-ccdb-fd8b2614ef4a"},"execution_count":37,"outputs":[{"output_type":"display_data","data":{"text/plain":["VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"dc777fe2ab354b04b8354bfb0000fb0c"}},"metadata":{}}]},{"cell_type":"code","execution_count":38,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"kGYtPPcvvkWn","executionInfo":{"status":"ok","timestamp":1694935899282,"user_tz":0,"elapsed":11192,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"fcd7ecf3-1682-4948-a91c-eeb20f4fd89a"},"outputs":[{"output_type":"stream","name":"stderr","text":["Using the `WANDB_DISABLED` environment variable is deprecated and will be removed in v5. Use the --report_to flag to control the integrations used for logging result (for instance --report_to none).\n"]}],"source":["from transformers import TrainingArguments\n","\n","# Configure the trianing parameters like `num_train_epochs`:\n","# the number of time the model will repeat the training loop over the dataset\n","training_args = TrainingArguments(\n","    \"Sentiment-Analysis-Model\",\n","    num_train_epochs=10,\n","    load_best_model_at_end=True,\n","    evaluation_strategy=\"steps\",\n","    save_strategy=\"steps\",\n","    push_to_hub=True\n","    )"]},{"cell_type":"markdown","metadata":{"id":"iK53TOHovkWn"},"source":["#### LOADING PRETRAINED MODEL"]},{"cell_type":"code","source":[],"metadata":{"id":"DlR60jeC4kVC","executionInfo":{"status":"ok","timestamp":1694935899283,"user_tz":0,"elapsed":10,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"execution_count":38,"outputs":[]},{"cell_type":"code","execution_count":39,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":105,"referenced_widgets":["428f026c65f54ec79e3ae32169a9aef4","f5e9b981f83c47309e1a41edeb0ba35e","8bbf6c01f47a4358ba4e9aeab134502a","8fc2e7fa86644d9595b56fe7e8bd8cbe","b07f67446d914312ac4194f48f3b9242","5c9f1bf938274b2eb7f8b89a5e196f47","253c699bd79e4371bd1df28fbb4f389d","8506b56bd70e4f4d95f108203617ad18","1b8a21c767c44b48aa4b475ff30e8ad1","bc38a631e33849d7a01ead8ab673f4c8","b616a49d0eeb4b16bbc6bc0fa05a5c41"]},"id":"NDIKxAcfvkWn","executionInfo":{"status":"ok","timestamp":1694935910377,"user_tz":0,"elapsed":11102,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"eafd0a35-8eb4-40a3-bfa9-74b93fc92325"},"outputs":[{"output_type":"display_data","data":{"text/plain":["Downloading model.safetensors:   0%|          | 0.00/499M [00:00<?, ?B/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"428f026c65f54ec79e3ae32169a9aef4"}},"metadata":{}},{"output_type":"stream","name":"stderr","text":["Some weights of RobertaForSequenceClassification were not initialized from the model checkpoint at roberta-base and are newly initialized: ['classifier.dense.weight', 'classifier.dense.bias', 'classifier.out_proj.bias', 'classifier.out_proj.weight']\n","You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"]}],"source":["# Loading a pretrain model while specifying the number of labels in our dataset for fine-tuning\n","model = AutoModelForSequenceClassification.from_pretrained(\"roberta-base\", num_labels=3)"]},{"cell_type":"markdown","metadata":{"id":"t6sAGKwyvkWn"},"source":["#### SPLITTING TRAIN SET"]},{"cell_type":"code","execution_count":40,"metadata":{"id":"2O5iPn9LvkWo","executionInfo":{"status":"ok","timestamp":1694935910378,"user_tz":0,"elapsed":8,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["train_dataset = dataset['train'].shuffle(seed=10) #.select(range(40000)) # to select a part\n","eval_dataset = dataset['eval'].shuffle(seed=10)\n","\n","## other way to split the train set ... in the range you must use:\n","# # int(num_rows*.8 ) for [0 - 80%] and  int(num_rows*.8 ),num_rows for the 20% ([80 - 100%])\n","# train_dataset = dataset['train'].shuffle(seed=10).select(range(40000))\n","# eval_dataset = dataset['train'].shuffle(seed=10).select(range(40000, 41000))"]},{"cell_type":"markdown","metadata":{"id":"IbMPxkHQvkWo"},"source":["#### EVALUATION METRIC"]},{"cell_type":"code","execution_count":41,"metadata":{"id":"LevxW5kVvkWo","executionInfo":{"status":"ok","timestamp":1694935910378,"user_tz":0,"elapsed":7,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["\n","def compute_f1_score(pred):\n","    labels = pred.label_ids\n","    preds = np.argmax(pred.predictions, axis=1)\n","    f1 = f1_score(labels, preds, average=\"weighted\")\n","    return {\"f1_score\": f1}\n","\n","\n","# metric = load_metric(\"accuracy\")\n","\n","# def compute_metrics(eval_pred):\n","#     logits, labels = eval_pred\n","#     predictions = np.argmax(logits, axis=-1)\n","#     return metric.compute(predictions=predictions, references=labels)\n"]},{"cell_type":"markdown","metadata":{"id":"_rC1mt1lvkWo"},"source":["#### MODEL TRAINING SETUP"]},{"cell_type":"code","execution_count":43,"metadata":{"id":"E7xx_da4vkWo","executionInfo":{"status":"ok","timestamp":1694935940752,"user_tz":0,"elapsed":442,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"outputs":[],"source":["from transformers import Trainer\n","\n","\n","# Model Training Setup\n","trainer = Trainer(\n","    model=model,\n","    args=training_args,\n","    train_dataset=train_dataset,\n","    eval_dataset=eval_dataset,\n","    tokenizer=tokenizer,\n","    compute_metrics=compute_f1_score,\n","\n",")\n"]},{"cell_type":"code","execution_count":44,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":777},"id":"9uEivleEvkWp","executionInfo":{"status":"ok","timestamp":1694945253856,"user_tz":0,"elapsed":9311904,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"08d2d2cd-6518-483f-cad9-dfc2115612f5"},"outputs":[{"output_type":"stream","name":"stderr","text":["You're using a RobertaTokenizerFast tokenizer. Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to encode the text followed by a call to the `pad` method to get a padded encoding.\n"]},{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","    <div>\n","      \n","      <progress value='10000' max='10000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n","      [10000/10000 2:34:31, Epoch 10/10]\n","    </div>\n","    <table border=\"1\" class=\"dataframe\">\n","  <thead>\n"," <tr style=\"text-align: left;\">\n","      <th>Step</th>\n","      <th>Training Loss</th>\n","      <th>Validation Loss</th>\n","      <th>F1 Score</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>500</td>\n","      <td>0.826800</td>\n","      <td>0.747295</td>\n","      <td>0.673376</td>\n","    </tr>\n","    <tr>\n","      <td>1000</td>\n","      <td>0.792000</td>\n","      <td>0.792724</td>\n","      <td>0.672298</td>\n","    </tr>\n","    <tr>\n","      <td>1500</td>\n","      <td>0.753100</td>\n","      <td>0.738668</td>\n","      <td>0.670477</td>\n","    </tr>\n","    <tr>\n","      <td>2000</td>\n","      <td>0.752700</td>\n","      <td>0.705734</td>\n","      <td>0.684400</td>\n","    </tr>\n","    <tr>\n","      <td>2500</td>\n","      <td>0.730200</td>\n","      <td>0.751955</td>\n","      <td>0.677523</td>\n","    </tr>\n","    <tr>\n","      <td>3000</td>\n","      <td>0.735500</td>\n","      <td>0.737887</td>\n","      <td>0.679652</td>\n","    </tr>\n","    <tr>\n","      <td>3500</td>\n","      <td>0.724500</td>\n","      <td>0.726032</td>\n","      <td>0.681073</td>\n","    </tr>\n","    <tr>\n","      <td>4000</td>\n","      <td>0.738300</td>\n","      <td>0.744458</td>\n","      <td>0.679122</td>\n","    </tr>\n","    <tr>\n","      <td>4500</td>\n","      <td>0.727100</td>\n","      <td>0.737237</td>\n","      <td>0.678726</td>\n","    </tr>\n","    <tr>\n","      <td>5000</td>\n","      <td>0.730600</td>\n","      <td>0.730784</td>\n","      <td>0.681586</td>\n","    </tr>\n","    <tr>\n","      <td>5500</td>\n","      <td>0.725900</td>\n","      <td>0.740729</td>\n","      <td>0.685133</td>\n","    </tr>\n","    <tr>\n","      <td>6000</td>\n","      <td>0.728600</td>\n","      <td>0.751737</td>\n","      <td>0.685412</td>\n","    </tr>\n","    <tr>\n","      <td>6500</td>\n","      <td>0.751500</td>\n","      <td>0.770187</td>\n","      <td>0.682221</td>\n","    </tr>\n","    <tr>\n","      <td>7000</td>\n","      <td>0.699600</td>\n","      <td>0.728590</td>\n","      <td>0.687710</td>\n","    </tr>\n","    <tr>\n","      <td>7500</td>\n","      <td>0.706700</td>\n","      <td>0.741296</td>\n","      <td>0.683221</td>\n","    </tr>\n","    <tr>\n","      <td>8000</td>\n","      <td>0.719500</td>\n","      <td>0.756116</td>\n","      <td>0.684175</td>\n","    </tr>\n","    <tr>\n","      <td>8500</td>\n","      <td>0.704100</td>\n","      <td>0.781171</td>\n","      <td>0.681897</td>\n","    </tr>\n","    <tr>\n","      <td>9000</td>\n","      <td>0.732900</td>\n","      <td>0.771691</td>\n","      <td>0.684592</td>\n","    </tr>\n","    <tr>\n","      <td>9500</td>\n","      <td>0.704600</td>\n","      <td>0.762466</td>\n","      <td>0.681698</td>\n","    </tr>\n","    <tr>\n","      <td>10000</td>\n","      <td>0.722000</td>\n","      <td>0.743244</td>\n","      <td>0.689725</td>\n","    </tr>\n","  </tbody>\n","</table><p>"]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["TrainOutput(global_step=10000, training_loss=0.735309487915039, metrics={'train_runtime': 9275.0491, 'train_samples_per_second': 8.624, 'train_steps_per_second': 1.078, 'total_flos': 2.104644228406272e+16, 'train_loss': 0.735309487915039, 'epoch': 10.0})"]},"metadata":{},"execution_count":44}],"source":["# Launch the learning process: training\n","trainer.train()"]},{"cell_type":"code","execution_count":45,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":146},"id":"K-PmokkevkWp","executionInfo":{"status":"ok","timestamp":1694945314459,"user_tz":0,"elapsed":60626,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"66d84207-3c74-4f7f-d97e-9848cd9e8f78"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<IPython.core.display.HTML object>"],"text/html":["\n","    <div>\n","      \n","      <progress value='250' max='250' style='width:300px; height:20px; vertical-align: middle;'></progress>\n","      [250/250 01:00]\n","    </div>\n","    "]},"metadata":{}},{"output_type":"execute_result","data":{"text/plain":["{'eval_loss': 0.7057342529296875,\n"," 'eval_f1_score': 0.6843997574115549,\n"," 'eval_runtime': 60.899,\n"," 'eval_samples_per_second': 32.841,\n"," 'eval_steps_per_second': 4.105,\n"," 'epoch': 10.0}"]},"metadata":{},"execution_count":45}],"source":["# Launch the final evaluation\n","trainer.evaluate()"]},{"cell_type":"code","execution_count":49,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":36},"id":"AB4d6zyEvkWq","executionInfo":{"status":"ok","timestamp":1694945526843,"user_tz":0,"elapsed":4759,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"e0f515f3-d5da-4417-f428-a90e050ec72e"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["'https://huggingface.co/QuophyDzifa/Sentiment-Analysis-Model/tree/main/'"],"application/vnd.google.colaboratory.intrinsic+json":{"type":"string"}},"metadata":{},"execution_count":49}],"source":["trainer.push_to_hub()"]},{"cell_type":"code","source":["model.push_to_hub('Sentiment-Analysis-Model')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"aamub0qnS7AC","executionInfo":{"status":"ok","timestamp":1694945530467,"user_tz":0,"elapsed":3634,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"bad59ce9-fdc2-4665-9f0d-5bae9fa649fb"},"execution_count":50,"outputs":[{"output_type":"execute_result","data":{"text/plain":["CommitInfo(commit_url='https://huggingface.co/QuophyDzifa/Sentiment-Analysis-Model/commit/4b433ae0b649d9e072c802c3f60485b819455aab', commit_message='Upload RobertaForSequenceClassification', commit_description='', oid='4b433ae0b649d9e072c802c3f60485b819455aab', pr_url=None, pr_revision=None, pr_num=None)"]},"metadata":{},"execution_count":50}]},{"cell_type":"code","source":["tokenizer.push_to_hub('Sentiment-Analysis-Model')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"tmR3xIe7S-11","executionInfo":{"status":"ok","timestamp":1694945531468,"user_tz":0,"elapsed":1017,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}},"outputId":"8475f97a-e5af-4485-a2cb-e31796cd7cb7"},"execution_count":51,"outputs":[{"output_type":"execute_result","data":{"text/plain":["CommitInfo(commit_url='https://huggingface.co/QuophyDzifa/Sentiment-Analysis-Model/commit/75aedc00f54eea7c8c4d3f693671ba9338d976bc', commit_message='Upload tokenizer', commit_description='', oid='75aedc00f54eea7c8c4d3f693671ba9338d976bc', pr_url=None, pr_revision=None, pr_num=None)"]},"metadata":{},"execution_count":51}]},{"cell_type":"code","source":[],"metadata":{"id":"M5uH8TZyTdKt","executionInfo":{"status":"aborted","timestamp":1694945531472,"user_tz":0,"elapsed":21,"user":{"displayName":"Michael Dzifa Kumassah","userId":"10952293488118390561"}}},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"_Lfpa0IXvkWq"},"source":["Some checkpoints of the model are automatically saved locally in `Sentiment-Analysis-Model/` during the training."]},{"cell_type":"markdown","metadata":{"id":"nh467hRXvkWq"},"source":["You may also upload the model on the Hugging Face Platform... [Read more](https://huggingface.co/docs/hub/models-uploading)"]},{"cell_type":"markdown","metadata":{"id":"v8MQuGKtvkWq"},"source":["This notebook is inspired by an article: [Fine-Tuning Bert for Tweets Classification ft. Hugging Face](https://medium.com/mlearning-ai/fine-tuning-bert-for-tweets-classification-ft-hugging-face-8afebadd5dbf)"]},{"cell_type":"markdown","metadata":{"id":"I5RyddIQvkWq"},"source":["Do not hesitaite to read more and to ask questions, the Learning is a lifelong activity."]}],"metadata":{"kernelspec":{"display_name":"Python 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