muhammadusmantipu / text-mining-and-nlp-using-1.6-million-dataset Goto Github PK

1. Explored and prepared the data (Tokenization, Stemming, Stopwords, visualization, etc.) 2. Build a BOW and trained a KNN, Decision Tree, and SVM model 3. Evaluated the above models (confusion matrix, accuracy, classification report, etc.) 4. Used word2vec and build a CNN model 5. Compared the results with all above.