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Input
- glove.840B.300d.txt: GloVe (Global Vectors for Word Representation), obtainable from GloVe
- train.csv: training data
- test.csv: test data
- test_labels.csv: test labels for toxic comments toxicity
- sample_submission.csv: sample submission form for Kaggle score. Used to generate submission.csv and submission_LSTM_1DCNN.csv
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Code
- EDA.ipynb: notebook with data exploration, corpus cleaning, feature engineering and Logistic Regression with baseline Naive-bayes SVM classifier model
- main.ipynb: Simple logistic Regression model
- LSTM_1DCNN.py: Toxic Comment classification using LSTM and 1D-CNN model
- xgb-baseline-with-feature-engineering: Multi-label classification using XGBoost and feature engineering. Notebook runs on Kaggle here