Research on Stock Forum Commentary Data Mining and Stock Prediction Based on the LSTM-RF Algorithm

Lei, Gang and Wang, Jinliang and Shi, Chiyu and Su, Junyu (2023) Research on Stock Forum Commentary Data Mining and Stock Prediction Based on the LSTM-RF Algorithm. In: Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China.

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Abstract

As one of the important platforms for investors to exchange their views on stocks, the emotional tendency of stock commentary information influences investors' decisions to a certain extent. The monolithic model is ineffective in analyzing stock investors' sentiment and predicting stock prices. Ther

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:21
Last Modified: 17 Apr 2026 02:59
URI: http://eprints.eai.eu/id/eprint/43394

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