Table 23. Performance analysis of the proposed methodology.

Year	Reference	Model	Accuracy
2016	Sahu & Ahuja (2016)	RF	0.90
2017	Yenter & Verma (2017)	CNN + LSTM	0.895
2017	Giatsoglou et al. (2017)	BoW-DOUBLE and Average emotion-DOUBLE	0.83
2018	Mathapati et al. (2018)	CNN	0.89
2019	Ali, Abd El Hamid & Youssif (2019)	CNN + LSTM	0.89
2019	Bodapati, Veeranjaneyulu & Shaik (2019)	LSTM + DNN	0.885
2020	Tripathi et al. (2020)	TF-IDF + LR	0.891
2020	Qaisar (2020)	LSTM	0.899
2020	Shaukat et al. (2020)	NN	0.91
2021	Jain & Jain (2021a)	CNN	0.883
2021	Nafis & Awang (2021)	SVM + (SVM-RFE)	0.895
2021	Jain & Jain (2021b)	NB + ARM	0.784
2021	Proposed	SVM + TextBlob + BoW & TF-IDF	0.92