Research Article
Research on Investor Sentiment and Stock Market Performance Based on Text Mining of Online Stock Forums
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334678, author={Sheng Wang}, title={Research on Investor Sentiment and Stock Market Performance Based on Text Mining of Online Stock Forums}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={text mining investor sentiment stock market performance}, doi={10.4108/eai.2-6-2023.2334678} }- Sheng Wang
Year: 2023
Research on Investor Sentiment and Stock Market Performance Based on Text Mining of Online Stock Forums
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334678
Abstract
This study examines the relationship between investor sentiment, derived from online stock forum posts on the East Money website, and the closing price and trading volume of the Shanghai Stock Exchange Composite Index (SHCI). The findings reveal that different types of investor sentiment exert distinct effects on the stock market. Negative sentiment, identified through text mining of stock forum posts, demonstrates consistent predictive power for the SHCI's closing price. Moreover, changes in the proportions of positive and neutral sentiment, also extracted from stock forum posts, exhibit an immediate impact on the SHCI's trading volume, with a one-day lag. Thus, the study establishes the significant role of investor sentiment, extracted from stock forum posts, in predicting stock market performance
