Hierarchical emotion classification and emotion component analysis on chinese micro-blog posts
作者：
Highlights：
• We classify Chinese micro-blog posts into fine-grained emotion classes.
• We employ hierarchical classification to improve the performance of classifiers.
• We propose an ECA algorithm to detect four principal emotions and calculate ratios.
摘要
•We classify Chinese micro-blog posts into fine-grained emotion classes.•We employ hierarchical classification to improve the performance of classifiers.•We propose an ECA algorithm to detect four principal emotions and calculate ratios.
论文关键词：Micro-blog,Text mining,Emotion classification,Emotion component analysis
论文评审过程：Received 6 February 2015, Revised 21 June 2015, Accepted 10 July 2015, Available online 29 July 2015, Version of Record 6 September 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.07.028
