Content-Length: 65028 | pFad | https://github.com/kodiks/turkish-news-classification/raw/refs/heads/main/notebooks/train.ipynb

h: 65016 { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Turkish News Category Classification (3. TRAIN)\n", "## Import Packages" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 8589, "status": "ok", "timestamp": 1613107666254, "user": { "displayName": "Serdar AKYOL", "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhFoEhTTdnKtbAMCf_KR00rHfafHKDcsas7YjsxIA=s64", "userId": "13192402314406047829" }, "user_tz": -180 }, "id": "c5g_QyuUvjfT", "outputId": "a67f94a9-a203-446e-af9d-03efcc5ffbc5" }, "outputs": [], "source": [ "from sklearn.metrics import classification_report, confusion_matrix\n", "from sklearn.model_selection import train_test_split\n", "from scipy.sparse import hstack\n", "from sklearn import svm\n", "from sklearn.feature_extraction.text import TfidfVectorizer\n", "import pandas as pd\n", "import pickle\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from tqdm import tqdm" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# load word and char tfidf vectors\n", "PATH_ROOT = r'../' \n", "\n", "# load dataset\n", "def load_data(path):\n", " with open(PATH_ROOT + path, 'rb') as handle:\n", " dataset = pickle.load(handle)\n", " return dataset" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Word&Char TF-IDF Vectors" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "id": "2PoBefojxu_3" }, "outputs": [], "source": [ "with open(PATH_ROOT + 'vectors/interpress_news_category_tr_lite_train_cleaned_tfidf_word_2000.pkl', 'rb') as handle:\n", " word_tfidf = pickle.load(handle)\n", "\n", "with open(PATH_ROOT + 'vectors/interpress_news_category_tr_lite_train_cleaned_tfidf_char_2000.pkl', 'rb') as handle:\n", " char_tfidf = pickle.load(handle)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Cleaned Train&Test Dataset" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "id": "wRMZDcmTdrxr" }, "outputs": [], "source": [ "df_train = load_data(r\"datasets/interpress_news_category_tr_lite_train_cleaned.pkl\")\n", "df_test = load_data(r\"datasets/interpress_news_category_tr_lite_test_cleaned.pkl\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## TF-IDF Transform Word&Char" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 220665, "status": "ok", "timestamp": 1613107958792, "user": { "displayName": "Serdar AKYOL", "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhFoEhTTdnKtbAMCf_KR00rHfafHKDcsas7YjsxIA=s64", "userId": "13192402314406047829" }, "user_tz": -180 }, "id": "a5mqY8li5jR4", "outputId": "62ca18be-e12f-4714-d5f5-0302a9631d4a" }, "outputs": [ { "data": { "text/plain": [ "(218880, 4000)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "train_tf_word_transformed = word_tfidf.transform(df_train['clean_content'])\n", "train_tf_char_transformed = char_tfidf.transform(df_train['clean_content'])\n", "\n", "test_tf_word_transformed = word_tfidf.transform(df_test['clean_content'])\n", "test_tf_char_transformed = char_tfidf.transform(df_test['clean_content'])\n", "\n", "tf_train_features = hstack([train_tf_word_transformed, train_tf_char_transformed])\n", "tf_train_features.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## TRAIN - SVM" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "id": "xiOJGylF4zoP" }, "outputs": [], "source": [ "# train SVM model\n", "clf = svm.SVC(kernel='linear', gamma='auto')\n", "clf.fit(tf_train_features, df_train['category'])\n", "\n", "# save model\n", "filename = PATH_ROOT + 'models/interpress_news_category_tr_lite_classifier_svm_model_4000.sav'\n", "pickle.dump(clf, open(filename, 'wb'))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Score ACC - TEST" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 4740201, "status": "ok", "timestamp": 1613123089805, "user": { "displayName": "Serdar AKYOL", "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhFoEhTTdnKtbAMCf_KR00rHfafHKDcsas7YjsxIA=s64", "userId": "13192402314406047829" }, "user_tz": -180 }, "id": "4bACYCts62X5", "outputId": "fe5a2cdb-b48f-4a05-c162-de4e57e0bbdc" }, "outputs": [ { "data": { "text/plain": [ "0.9366239652053142" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# stack word and char tfidf features for train\n", "tf_test_featured = hstack([test_tf_word_transformed, test_tf_char_transformed])\n", "\n", "# get accuracy\n", "clf.score(tf_test_featured, df_test['category'])" ] }, { "cell_type": "markdown", "metadata": { "id": "Kqnu4yNRfcff" }, "source": [ "## Model evaluation" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "colab": { "background_save": true }, "id": "SApE2hXcfkdh" }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 54721/54721 [12:35:47<00:00, 1.21it/s] \n" ] } ], "source": [ "# get predictions and actual labels\n", "y_pred = []\n", "y_true = []\n", "\n", "for i, news in enumerate(tqdm(df_test['clean_content'])):\n", " word_transformed_news = word_tfidf.transform([news])\n", " char_transformed_news = char_tfidf.transform([news])\n", " news_featured = hstack([word_transformed_news, char_transformed_news])\n", " result = clf.predict(news_featured)[0]\n", " y_pred.append(result)\n", " y_true.append(df_test['category'].iloc[i])\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Classification Report" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "executionInfo": { "elapsed": 1416, "status": "ok", "timestamp": 1613133119170, "user": { "displayName": "Serdar AKYOL", "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhFoEhTTdnKtbAMCf_KR00rHfafHKDcsas7YjsxIA=s64", "userId": "13192402314406047829" }, "user_tz": -180 }, "id": "dxDvcxpGkQXY", "outputId": "3049c2f5-41e6-44df-8109-20df4e0ccdf5" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " precision recall f1-score support\n", "\n", "Kültür-Sanat 0.92 0.96 0.94 17491\n", " Ekonomi 0.94 0.94 0.94 9086\n", " Siyaset 0.92 0.87 0.89 2448\n", " Eğitim 0.90 0.90 0.90 2597\n", " Dünya 0.89 0.80 0.84 1816\n", " Spor 0.98 0.97 0.98 5975\n", " Teknoloji 0.95 0.95 0.95 7928\n", " Magazin 0.91 0.83 0.87 1461\n", " Sağlık 0.95 0.92 0.94 4766\n", " Gündem 0.97 0.92 0.95 1153\n", "\n", " accuracy 0.94 54721\n", " macro avg 0.93 0.91 0.92 54721\n", "weighted avg 0.94 0.94 0.94 54721\n", "\n" ] } ], "source": [ "# show classification report\n", "labels = [\"Kültür-Sanat\",\"Ekonomi\",\"Siyaset\",\"Eğitim\",\"Dünya\",\"Spor\",\"Teknoloji\",\"Magazin\",\"Sağlık\",\"Gündem\"]\n", "\n", "print(classification_report(y_true, y_pred, target_names=labels))" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 443 }, "executionInfo": { "elapsed": 2319, "status": "ok", "timestamp": 1613133127552, "user": { "displayName": "Serdar AKYOL", "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GhFoEhTTdnKtbAMCf_KR00rHfafHKDcsas7YjsxIA=s64", "userId": "13192402314406047829" }, "user_tz": -180 }, "id": "t4_zDXRfDUz9", "outputId": "98cb379f-5efd-4f3a-e778-26bb98bd014f" }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# visualize confusion matrix\n", "conf_mat = confusion_matrix(y_true, y_pred)\n", "fig, ax = plt.subplots(figsize=(15,7))\n", "sns.heatmap(conf_mat, annot=True, fmt='d',\n", " xticklabels=labels, yticklabels=labels)\n", "plt.ylabel('Actual')\n", "plt.xlabel('Predicted')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "5iBEOSmJD_h3" }, "outputs": [], "source": [] } ], "metadata": { "colab": { "collapsed_sections": [], "machine_shape": "hm", "name": "4-train.ipynb", "provenance": [ { "file_id": "1uJbUF5MKdBvVFHbGuIGoCaK57Ct3NPT5", "timestamp": 1612103878669 }, { "file_id": "168mUteawbbMfplkef5XhRKmfRaqakQOl", "timestamp": 1610979380646 }, { "file_id": "1hfyGe1L9gRvE0BA-uF97WXjG1-aCJhLo", "timestamp": 1610977759351 }, { "file_id": "1EhV8loc8YGajanvuyKVXS6_9NXj2l0lL", "timestamp": 1610971316628 }, { "file_id": "1j0iqV5ZHYvgvBsYhTLfflWSkRfUpnWts", "timestamp": 1610970574074 }, { "file_id": "1usAJG7Vw1ibjEnwRnF3RdYMBcP-d9mgy", "timestamp": 1610391444522 }, { "file_id": "15kOQvjWDWRpqIMwcbuVK1A_tYDfqzmXL", "timestamp": 1610264734174 }, { "file_id": "1-d_cswyB7vyXcSfVUhNf2FmulnUAGmi3", "timestamp": 1610264644885 }, { "file_id": "1R-eRxihkoUuobq9eV7P-FlKDQPlxI0wW", "timestamp": 1610264540446 }, { "file_id": "1n-mq4FCR3MNPc0ZiRDB4_smukAhjhdCA", "timestamp": 1610215573242 }, { "file_id": "1GqZu6zmCy2vMNMZqO78DDuHvwv_9vJcp", "timestamp": 1609855024052 }, { "file_id": "1IzPbxNFQmmSYk9s14L4YjBfUgACn9mW2", "timestamp": 1593978024316 }, { "file_id": "1G7NKeneJNyRtcRxLVbbF9jYtRyuTOa-R", "timestamp": 1592749700622 }, { "file_id": "https://github.com/satyajitghana/TSAI-DeepVision-EVA4.0/blob/master/Utils/Colab_25GBRAM_GPU.ipynb", "timestamp": 1592043804148 } ] }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.5" } }, "nbformat": 4, "nbformat_minor": 4 }

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier! Saves Data!