Table 12. Performance analysis of the proposed approach with state-of-the-art approaches.

Reference	Techniques	Accuracy
(Gupta et al., 2020)	Chi2, TFIDF, Voting classifier	89%
(Khatri, Pranav & Anand, 2020)	GloVe, with logistic regression	86%
(Majumder et al., 2019)	GRU-based neural network	90%
(Mandal & Mahto, 2019)	Deep CNN-LSTM	86%
Current study	CNN-LSTM	91.6%