Table 3 Comparison with existing work... | Emerald Publishing

Table 3

Comparison with existing work

Work done	Data sources	Stock data	Tool for sentiment analysis	Prediction method	Accuracy
Wang et al	Online Forum	CSI 300	LSTM	Machine Learning Algorithms	Avg: 77.83%
Das et al	Stock-related articles headlines from “Economic Times,” Tweets from Twitter, Financial news from “Economic Times” and Facebook comments	Nifty 50	VADER, Logistic Regression, Loughran–McDonald, Henry, TextBlob, Linear SVC and Stanford	LSTM	Linear SVC: 98.32% Logistic Regression: 97.67% VADER: 96.85% Loughran–McDonald: 94.78% Henry: 96.36% TextBlob: 96.48% Stanford: 96.57%
Proposed work	Twitter, VIX and Momentum	Nifty 50	VADER	CNN-BDLSTM	Avg: 98.47%

Work done	Data sources	Stock data	Tool for sentiment analysis	Prediction method	Accuracy
Wang et al	Online Forum	CSI 300	LSTM	Machine Learning Algorithms	Avg: 77.83%
Das et al	Stock-related articles headlines from “Economic Times,” Tweets from Twitter, Financial news from “Economic Times” and Facebook comments	Nifty 50	VADER, Logistic Regression, Loughran–McDonald, Henry, TextBlob, Linear SVC and Stanford	LSTM	Linear SVC: 98.32%Logistic Regression: 97.67% VADER: 96.85%Loughran–McDonald: 94.78% Henry: 96.36%TextBlob: 96.48%Stanford: 96.57%
Proposed work	Twitter, VIX and Momentum	Nifty 50	VADER	CNN-BDLSTM	Avg: 98.47%

Source(s): Authors’ own work