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Emotion Cause Detection with Linguistic Construction in Chinese Weibo Text

  • Lin Gui
  • Li Yuan
  • Ruifeng Xu
  • Bin Liu
  • Qin Lu
  • Yu Zhou
Part of the Communications in Computer and Information Science book series (CCIS, volume 496)

Abstract

To identify the cause of emotion is a new challenge for researchers in nature language processing. Currently, there is no existing works on emotion cause detection from Chinese micro-blogging (Weibo) text. In this study, an emotion cause annotated corpus is firstly designed and developed through annotating the emotion cause expressions in Chinese Weibo Text. Up to now, an emotion cause annotated corpus which consists of the annotations for 1,333 Chinese Weibo is constructed. Based on the observations on this corpus, the characteristics of emotion cause expression are identified. Accordingly, a rule-based emotion cause detection method is developed which uses 25 manually complied rules. Furthermore, two machine learning based cause detection methods are developed including a classification-based method using support vector machines and a sequence labeling based method using conditional random fields model. It is the largest available resources in this research area. The experimental results show that the rule-based method achieves 68.30% accuracy rate. Furthermore, the method based on conditional random fields model achieved 77.57% accuracy which is 37.45% higher than the reference baseline method. These results show the effectiveness of our proposed emotion cause detection method.

Keywords

Emotion cause detection corpus construction Chinese Weibo 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Lin Gui
    • 1
  • Li Yuan
    • 1
  • Ruifeng Xu
    • 1
  • Bin Liu
    • 1
  • Qin Lu
    • 2
  • Yu Zhou
    • 1
  1. 1.Key Laboratory of Network Oriented Intelligent Computation,Shenzhen Graduate SchoolHarbin Institute of TechnologyShenzhenChina
  2. 2.Department of ComputingThe Hong Kong Polytechnic UniversityHong KongChina

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