%A Zhang Ning,Yin Lemin,He Lifeng %T Impacts of “Poster-Follower” Sentiment on Stock Market Performance %0 Journal Article %D 2018 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.2096-3467.2017.1174 %P 1-12 %V 2 %N 6 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4513.shtml} %8 2018-06-25 %X

[Objective] The paper investigates the relationship between the “Bullish Sentiment Index” (BSI) of online reviews/following comments and the performance of stock market. [Methods] First, we conducted sentiment classification for comments on Shanghai Stock Exchange Composite Index using semantic analysis method. Then, we built the sentiment tendencies of these reviews and constructed their “Poster-Follower” BSI. Finally, we used linear and nonlinear models to examine the proposed method empirically. [Results] The BSI based on our proposed method (text mining) could effectively predict the stock market trend, especially on its returns. [Limitations] We only consider two emotional polarities and more research is needed to enhance the sentimental strength. [Conclusions] The Bullish Sentiment Index could effectively predict the overall stock market trend by measuring investors’ sentiment.