Table 3. Stock market prediction using sentiment analysis.
| Authors | Scope | Input features | Feature extraction | Prediction algorithm |
|---|---|---|---|---|
| Gao et al. (2022) | NYSE | Price data & Financial news | Sentiment polarity using LMD dictionary | RNN-ER-GA |
| Duan, Liu & Wang (2021) | SSE | Financial News & text | Scaling raw data | Naive Bayes/SVM/Xgboost |
| Gong et al. (2022) | SSE | Price data & Financial news | Technical Indicators | NISI |
| Malawana & Rathnayaka (2020) | CSE | Twitter Tweets | Tokenization/Removing Stop words/Symbols | Custom visual representation of sentiment time series |
| Khatri & Srivastava (2016) | NSE | Twitter & Stock Twits | Polarity index | ANN |
| Mehta, Malhar & Shankarmani (2021) | NSE | Twitter Tweet & Stock ticker | Regual expression extraction | LSTM/ARIMA/LR |
| Jing, Wu & Wang (2021) | SSE | Textual data & Technical Indicators | Optimal classification accuracy | LSTM/CNN |
| Bhardwaj et al. (2015) | NSE | Price data & Financial news | NA | Sentiment analysis for Stock Market prediction on the basis of variation in predicted values |
| Owen & Oktariani (2020) | NYSE | Financial news & microblog text data | Ensemble based model | CNN/LSTM/MLP/SENN |