Modeling public mood and emotion: Stock market trend prediction with anticipatory computing approach

作者：

Highlights：

• This study develops a public mood dynamic prediction model for the stock market.

• This study used sentiment analysis and deep learning approaches to build the model.

• The system structure for social computing and can be referenced or replicated.

摘要

•This study develops a public mood dynamic prediction model for the stock market.•This study used sentiment analysis and deep learning approaches to build the model.•The system structure for social computing and can be referenced or replicated.

论文关键词：Emantic analysis,Stock market trend analysis,Time series,Long short-term memory (LSTM)

论文评审过程：Received 10 April 2018, Revised 4 September 2018, Accepted 18 March 2019, Available online 18 March 2019, Version of Record 16 September 2019.

论文官网地址：https://doi.org/10.1016/j.chb.2019.03.021