An emotion-based independent cascade model for sentiment spreading

作者：

Highlights：

• An emotion-based independent cascade model is proposed to analyze the process of sentiment spreading.

• User features, structural features and tweet features are introduced into the learning model for finding the sentiment changes of retweets.

• The historical information based transforming weights are proposed for the sentiment prediction of retweets.

摘要

•An emotion-based independent cascade model is proposed to analyze the process of sentiment spreading.•User features, structural features and tweet features are introduced into the learning model for finding the sentiment changes of retweets.•The historical information based transforming weights are proposed for the sentiment prediction of retweets.

论文关键词：Emotions,Change,Independent cascade model,Sentiment spreading,Social networks

论文评审过程：Received 16 March 2016, Revised 17 October 2016, Accepted 31 October 2016, Available online 9 November 2016, Version of Record 14 December 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.10.029