Improving stock market prediction accuracy using sentiment and technical analysis

Author:

Agrawal Shubham,Kumar Nitin,Rathee Geetanjali,Kerrache Chaker AbdelazizORCID,Calafate Carlos T.,Bilal Muhammad

Publisher

Springer Science and Business Media LLC

Reference33 articles.

1. Lu, W., Li, J., Wang, J., & Qin, L. (2021). A CNN-BILSTM-AM method for stock price prediction. Neural Computing and Applications, 33, 4741–4753.

2. Zhang, L., Wang, S., & Liu, B. (2018). Deep learning for sentiment analysis: A survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(4), e1253.

3. Deveikyte, J., Geman, H., Piccari, C., & Provetti, A. (2022). A sentiment analysis approach to the prediction of market volatility. Frontiers in Artificial Intelligence, 5, 836809.

4. Chandrasekaran, G., Nguyen, T. N., & Hemanth, D. J. (2021). Multimodal sentimental analysis for social media applications: A comprehensive review. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 11(5), e1415.

5. Chandrasekaran, G., Antoanela, N., Andrei, G., Monica, C., & Hemanth, J. (2022). Visual sentiment analysis using deep learning models with social media data. Applied Sciences, 12(3), 1030.

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