{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.14","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":10737,"databundleVersionId":290346,"sourceType":"competition"}],"dockerImageVersionId":30804,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:54:13.499363Z","iopub.execute_input":"2024-12-11T08:54:13.499758Z","iopub.status.idle":"2024-12-11T08:54:13.955047Z","shell.execute_reply.started":"2024-12-11T08:54:13.499721Z","shell.execute_reply":"2024-12-11T08:54:13.953521Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# Steps : \n-  unzip the (embedding.zip) folder\n-  open folder (glove.840B.300d)\n-  read txt file for embedding ( glove.840B.300d.txt) ---> embedding Matrix\n-  Preprocessing :\n  * Tokenizer --> convert long text to word\n  * Embedding ---> convert words to vector of numbers using glove ( pre-trained model )\n    \n- LSTM ( LSTM & Dropout & ANN )\n- Compile (optimizer='adam' ,loss= 'binary_crossentropy' , metrics=['accuracy'])\n- Train the Model ( fit ---> epoches , batch size) on ( X_train , y_train ) + Validation ( X_val, y_val) \n- Evaluation ( accuracy ,precion , recall, f1 score) on Validation ( X_val, y_val)\n\n- prediction on test_data to create submission file ( qid, predistions )","metadata":{}},{"cell_type":"code","source":"import zipfile\nimport os\nimport numpy as np\nimport pandas as pd","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:54:13.957647Z","iopub.execute_input":"2024-12-11T08:54:13.958304Z","iopub.status.idle":"2024-12-11T08:54:13.964939Z","shell.execute_reply.started":"2024-12-11T08:54:13.958252Z","shell.execute_reply":"2024-12-11T08:54:13.963706Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# 1 -unzip the (embedding.zip) folder & open folder (glove.840B.300d)","metadata":{}},{"cell_type":"code","source":"zip_file_path = '/kaggle/input/quora-insincere-questions-classification/embeddings.zip'","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:54:13.966487Z","iopub.execute_input":"2024-12-11T08:54:13.966916Z","iopub.status.idle":"2024-12-11T08:54:13.978977Z","shell.execute_reply.started":"2024-12-11T08:54:13.966866Z","shell.execute_reply":"2024-12-11T08:54:13.977827Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"with zipfile.ZipFile(zip_file_path, 'r') as zip_ref:\n    zip_ref.printdir()  # To see the file structure\n    zip_ref.extract('glove.840B.300d/glove.840B.300d.txt', '/kaggle/working/')\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:54:13.980594Z","iopub.execute_input":"2024-12-11T08:54:13.980942Z","iopub.status.idle":"2024-12-11T08:55:30.710657Z","shell.execute_reply.started":"2024-12-11T08:54:13.980909Z","shell.execute_reply":"2024-12-11T08:55:30.708421Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"embeddding_file_path = '/kaggle/working/glove.840B.300d/glove.840B.300d.txt'","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:55:30.714748Z","iopub.execute_input":"2024-12-11T08:55:30.715203Z","iopub.status.idle":"2024-12-11T08:55:30.722033Z","shell.execute_reply.started":"2024-12-11T08:55:30.715161Z","shell.execute_reply":"2024-12-11T08:55:30.720610Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"embeddding_file_path","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:55:30.723764Z","iopub.execute_input":"2024-12-11T08:55:30.724218Z","iopub.status.idle":"2024-12-11T08:55:30.749603Z","shell.execute_reply.started":"2024-12-11T08:55:30.724174Z","shell.execute_reply":"2024-12-11T08:55:30.748274Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":" # 2- Read txt file for embedding ( glove.840B.300d.txt) ---> embedding Matrix","metadata":{}},{"cell_type":"code","source":"import numpy as np\n\ndef load_glove_embeddings(file_path):\n    embedding_index = {} # Key[words] : value[coeff]\n    with open(file_path, 'r', encoding='utf-8') as f:\n        for line in f:\n            values = line.split()\n            word = values[0]\n            \n            # Try to convert the coefficients to a float\n            try:\n                coeff = np.asarray(values[1:], dtype='float32')\n                embedding_index[word] = coeff\n            except ValueError as e:\n                # Print the line that caused the error for inspection\n                continue # Skip\n\n    print(f'Loaded {len(embedding_index)} word vectors!')\n    return embedding_index\n\n# Assuming 'embedding_file_path' is the correct path to your GloVe file\nembedding_index = load_glove_embeddings(embeddding_file_path)\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:55:30.751404Z","iopub.execute_input":"2024-12-11T08:55:30.751789Z","iopub.status.idle":"2024-12-11T08:58:08.628029Z","shell.execute_reply.started":"2024-12-11T08:55:30.751742Z","shell.execute_reply":"2024-12-11T08:58:08.626593Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"train_data = pd.read_csv('/kaggle/input/quora-insincere-questions-classification/train.csv')\ntrain_data.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:58:08.629807Z","iopub.execute_input":"2024-12-11T08:58:08.630315Z","iopub.status.idle":"2024-12-11T08:58:14.162374Z","shell.execute_reply.started":"2024-12-11T08:58:08.630262Z","shell.execute_reply":"2024-12-11T08:58:14.161163Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"train_data.info()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:58:14.163780Z","iopub.execute_input":"2024-12-11T08:58:14.164102Z","iopub.status.idle":"2024-12-11T08:58:14.348651Z","shell.execute_reply.started":"2024-12-11T08:58:14.164052Z","shell.execute_reply":"2024-12-11T08:58:14.346830Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# 3- Split the data into Texts and labels","metadata":{}},{"cell_type":"code","source":"texts = train_data['question_text']\n# Texts will be processing to be padded sequences of tokens\nlabels=train_data['target']\n# Lables will be the output that the Model should be trained and validated on","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:58:14.350330Z","iopub.execute_input":"2024-12-11T08:58:14.350912Z","iopub.status.idle":"2024-12-11T08:58:14.357827Z","shell.execute_reply.started":"2024-12-11T08:58:14.350861Z","shell.execute_reply":"2024-12-11T08:58:14.356298Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# 4- Tokenization | Tokenizer --> convert long text to word","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.preprocessing.text import Tokenizer\nfrom tensorflow.keras.preprocessing.sequence import pad_sequences\n \nMax_num_tokens = 30000 \nMax_number_seq = 8\n \ntokenizer = Tokenizer(num_words=Max_num_tokens)\ntokenizer.fit_on_texts(texts)\n \nsequences = tokenizer.texts_to_sequences(texts)\n \npadded_sequences = pad_sequences(sequences, maxlen=Max_number_seq)\n# padded_sequences : This will be the input of the Model (Neural Network)\n\nprint(f'Tokens number: {len(tokenizer.word_index)} | Unique Tokens')","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:58:14.359337Z","iopub.execute_input":"2024-12-11T08:58:14.359685Z","iopub.status.idle":"2024-12-11T08:59:22.348404Z","shell.execute_reply.started":"2024-12-11T08:58:14.359653Z","shell.execute_reply":"2024-12-11T08:59:22.347086Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# 5- Embedding ---> convert words to vector of numbers using glove ( pre-trained model )","metadata":{}},{"cell_type":"code","source":"# embedding_index ---> Glove\n#tokenizer.word_index ---> our training data in tokens\n\nEmbedding_dim = 300\n\nword_index = tokenizer.word_index\nnum_words = len(word_index)+1\n\nembedding_matrix = np.zeros((num_words , Embedding_dim ))\n\nfor word , i in word_index.items():\n    embedding_vector = embedding_index.get(word)\n    if embedding_vector is not None :\n        embedding_matrix[i] = embedding_vector\n    \nprint(f'{embedding_matrix.shape}')    ","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:59:22.349893Z","iopub.execute_input":"2024-12-11T08:59:22.350592Z","iopub.status.idle":"2024-12-11T08:59:23.542305Z","shell.execute_reply.started":"2024-12-11T08:59:22.350543Z","shell.execute_reply":"2024-12-11T08:59:23.540696Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"embedding_matrix[1]","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:59:23.543989Z","iopub.execute_input":"2024-12-11T08:59:23.544403Z","iopub.status.idle":"2024-12-11T08:59:23.556882Z","shell.execute_reply.started":"2024-12-11T08:59:23.544365Z","shell.execute_reply":"2024-12-11T08:59:23.555629Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# 6- Building Neural Network with ( LSTM & Dropout & ANN ) to train on Textual Data\n","metadata":{}},{"cell_type":"code","source":"from tensorflow.keras.models import Sequential \nfrom tensorflow.keras.layers import Embedding , LSTM , Dense , Dropout\n\nmodel = Sequential()\n\n# Embedding Layer : Input Layer ( Embedding matrix attributes including the Glove \"PreTrained Embedding\")\nmodel.add(Embedding(input_dim = num_words,\n                    output_dim = Embedding_dim,\n                    weights = [embedding_matrix],\n                    input_length  = Max_number_seq ,\n                    trainable = False #Pretrained Embedding\n))\n\n\n#LSTM Layer\nmodel.add(LSTM(128 ))\nmodel.add(Dropout(0.5))\n\n#Fully Connected Layer\nmodel.add(Dense(64, activation='relu'))\nmodel.add(Dropout(0.5))\n\n#Output Layer\nmodel.add(Dense(1, activation='sigmoid'))\n\n\n#Compilation\nmodel.compile(optimizer='adam',\n             loss='binary_crossentropy',\n             metrics=['accuracy'])\n\nmodel.summary()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:59:23.561275Z","iopub.execute_input":"2024-12-11T08:59:23.561666Z","iopub.status.idle":"2024-12-11T08:59:25.260525Z","shell.execute_reply.started":"2024-12-11T08:59:23.561625Z","shell.execute_reply":"2024-12-11T08:59:25.259245Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# 7- Split the data and train the Model","metadata":{}},{"cell_type":"code","source":"from sklearn.model_selection import train_test_split\n\nX_train , X_val , y_train , y_val = train_test_split(padded_sequences, labels , test_size = 0.3, random_state=42)\n\n# Fit the model ( training)\nhistory = model.fit(X_train , y_train ,\n                   validation_data=(X_val , y_val),\n                   epochs = 5,\n                   batch_size = 512 )","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T08:59:25.261746Z","iopub.execute_input":"2024-12-11T08:59:25.262075Z","iopub.status.idle":"2024-12-11T09:11:28.239428Z","shell.execute_reply.started":"2024-12-11T08:59:25.262027Z","shell.execute_reply":"2024-12-11T09:11:28.237132Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## The result for 1 LSTM layer\n![image.png](attachment:b1594083-e787-4f71-a8f5-6ebbdd24bd5a.png)","metadata":{},"attachments":{"b1594083-e787-4f71-a8f5-6ebbdd24bd5a.png":{"image/png":"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Result for 2 LSTM Layers ( 128 , 64 ) States 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"}}},{"cell_type":"markdown","source":"_________________\n## The result for 1 Lstm or 2 LSTMs isn't different from each other, but the 2 Layers LSTM has increasd the execution Time and complexity without returning better performance, SO >> I'll use Only 1 LSTM Layer !","metadata":{}},{"cell_type":"markdown","source":"# 8- Visualize the Model Performance during training and Validation ","metadata":{}},{"cell_type":"code","source":"import matplotlib.pyplot as plt\n# Plot the training and validation accuracy\nplt.figure(figsize=(12, 6))\n\n# Accuracy plot\nplt.subplot(1, 2, 1)\nplt.plot(history.history['accuracy'], label='Training Accuracy')\nplt.plot(history.history['val_accuracy'], label='Validation Accuracy')\nplt.title('Accuracy during Training')\nplt.xlabel('Epochs')\nplt.ylabel('Accuracy')\nplt.legend()\n\n# Loss plot\nplt.subplot(1, 2, 2)\nplt.plot(history.history['loss'], label='Training Loss')\nplt.plot(history.history['val_loss'], label='Validation Loss')\nplt.title('Loss during Training')\nplt.xlabel('Epochs')\nplt.ylabel('Loss')\nplt.legend()\n\nplt.show()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T09:11:28.243498Z","iopub.execute_input":"2024-12-11T09:11:28.246540Z","iopub.status.idle":"2024-12-11T09:11:28.852173Z","shell.execute_reply.started":"2024-12-11T09:11:28.246468Z","shell.execute_reply":"2024-12-11T09:11:28.850935Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"# 9 - Building the predictions and put it into the submission file","metadata":{}},{"cell_type":"code","source":"test_data = pd.read_csv('/kaggle/input/quora-insincere-questions-classification/test.csv')\ntest_data","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T09:11:28.853833Z","iopub.execute_input":"2024-12-11T09:11:28.854230Z","iopub.status.idle":"2024-12-11T09:11:30.483361Z","shell.execute_reply.started":"2024-12-11T09:11:28.854194Z","shell.execute_reply":"2024-12-11T09:11:30.482318Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"submission = pd.read_csv('/kaggle/input/quora-insincere-questions-classification/sample_submission.csv')\nsubmission","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T09:11:30.485002Z","iopub.execute_input":"2024-12-11T09:11:30.485587Z","iopub.status.idle":"2024-12-11T09:11:30.978015Z","shell.execute_reply.started":"2024-12-11T09:11:30.485523Z","shell.execute_reply":"2024-12-11T09:11:30.976926Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"test_text = test_data['question_text']\n  \nsequences = tokenizer.texts_to_sequences(test_text)\n \ntest_padded_sequences = pad_sequences(sequences, maxlen=Max_number_seq)\n# padded_sequences : This will be the input of the Model (Neural Network)\n\nprint(f'Tokens number: {len(tokenizer.word_index)} | Unique Tokens')\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T09:11:30.979515Z","iopub.execute_input":"2024-12-11T09:11:30.979865Z","iopub.status.idle":"2024-12-11T09:11:38.389761Z","shell.execute_reply.started":"2024-12-11T09:11:30.979833Z","shell.execute_reply":"2024-12-11T09:11:38.388442Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"predictions = (model.predict(test_padded_sequences) > 0.5).astype(\"int32\")\npredictions","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T09:11:38.391462Z","iopub.execute_input":"2024-12-11T09:11:38.391826Z","iopub.status.idle":"2024-12-11T09:12:56.613202Z","shell.execute_reply.started":"2024-12-11T09:11:38.391793Z","shell.execute_reply":"2024-12-11T09:12:56.611821Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"submission = pd.DataFrame({'qid': test_data['qid'], 'prediction': predictions.flatten()})\nsubmission.to_csv('/kaggle/working/submission.csv', index=False)\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T09:12:56.614801Z","iopub.execute_input":"2024-12-11T09:12:56.615187Z","iopub.status.idle":"2024-12-11T09:12:57.039170Z","shell.execute_reply.started":"2024-12-11T09:12:56.615152Z","shell.execute_reply":"2024-12-11T09:12:57.037863Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"submission_file = pd.read_csv('/kaggle/working/submission.csv')\nsubmission_file.info()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-11T09:12:57.040658Z","iopub.execute_input":"2024-12-11T09:12:57.041040Z","iopub.status.idle":"2024-12-11T09:12:57.430846Z","shell.execute_reply.started":"2024-12-11T09:12:57.041004Z","shell.execute_reply":"2024-12-11T09:12:57.429730Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}