- BOW
- TFIDF
- Own Word Embedding
- Pre-Trained Word2Vec
- Pre-Trained GloVe
- Pre-Trained BERT
- Senetence Similarity
- Basic Word features
- Length Based Features
- Token Based Features
- Fuzzy features
- Cosine similarity between two sentences
- Logistic Regression
- SVM
- Naive Bayes
- KNN
- Decision Tree
- Random Forest
- Gradient Boost
- ADA Boost
- XGBoost
XGBoost using BERT and Advanced Extracted features Accuracy of 86%.