Social media contents based sentiment analysis and prediction system

作者：

Highlights：

• We proposed social media contents based sentiment analysis and prediction system.

• The system detects events in real time out of the massive social media contents.

• Users’ sentiments are classified using the Convolutional Neural Networks.

• The next sentimental path is predicted through Long Short-Term Memory.

摘要

•We proposed social media contents based sentiment analysis and prediction system.•The system detects events in real time out of the massive social media contents.•Users’ sentiments are classified using the Convolutional Neural Networks.•The next sentimental path is predicted through Long Short-Term Memory.

论文关键词：Social media,Sentiment analysis,Sentiment prediction,Sentimental trajectory

论文评审过程：Received 5 July 2017, Revised 2 March 2018, Accepted 26 March 2018, Available online 28 March 2018, Version of Record 24 April 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.03.055