A rule-based approach to emotion cause detection for Chinese micro-blogs

作者：

Highlights：

• We develop a rule-based system that trigger emotions based on the emotional model.

• We extract the corresponding cause events in fine-grained emotions.

• We get the proportions of different cause components under different emotions.

• The language features and Bayesian probability are used in this paper.

摘要

•We develop a rule-based system that trigger emotions based on the emotional model.•We extract the corresponding cause events in fine-grained emotions.•We get the proportions of different cause components under different emotions.•The language features and Bayesian probability are used in this paper.

论文关键词：Text mining,Emotion causes,Micro-blog,Cause component proportion

论文评审过程：Available online 7 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.064