GitHub - abdullah-al-jamil/Multiclass-Sentiment-Analysis-from-Bengali-Comments: Some techniques to analyze Youtube comments using NLP and ML models in Python. The 3 class analysis can tell you whether the comment is positive, negative or neutral and the 5 class analysis can also classify strongly positive and strongly negative.

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Some techniques to analyze Youtube comments using NLP and ML models in Python. The 3 class analysis can tell you whether the comment is positive, negative or neutral and the 5 class analysis can also classify strongly positive and strongly negative.

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Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
Sentiment.csv		Sentiment.csv
abuse_dataset.csv		abuse_dataset.csv
sentiment_2_class.csv		sentiment_2_class.csv
sentiment_CNN_(3_class).ipynb		sentiment_CNN_(3_class).ipynb
sentiment_CNN_(5_class).ipynb		sentiment_CNN_(5_class).ipynb
sentiment_GRU_(3_class).ipynb		sentiment_GRU_(3_class).ipynb
sentiment_GRU_(5_class).ipynb		sentiment_GRU_(5_class).ipynb
sentiment_LSTM_(3_class).ipynb		sentiment_LSTM_(3_class).ipynb
sentiment_LSTM_(5_class).ipynb		sentiment_LSTM_(5_class).ipynb
sentiment_NB_(3_class).ipynb		sentiment_NB_(3_class).ipynb
sentiment_NB_(5_class).ipynb		sentiment_NB_(5_class).ipynb
sentiment_SVM_(3_class).ipynb		sentiment_SVM_(3_class).ipynb
sentiment_SVM_(5_class).ipynb		sentiment_SVM_(5_class).ipynb
stop_word.txt		stop_word.txt