Natural Logic Inference for Emotion Detection

  • Han Ren
  • Yafeng RenEmail author
  • Xia Li
  • Wenhe Feng
  • Maofu Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10565)


Current research on emotion detection focuses on the recognizing explicit emotion expressions in text. In this paper, we propose an approach based on textual inference to detect implicit emotion expressions, that is, to capture emotion detection as an logical inference issue. The approach builds a natural logic system, in which emotional detection are decomposed into a series of logical inference process. The system also employ inference knowledge from textural inference resources for reasoning complex expressions in emotional texts. Experimental results show the efficiency in detecting implicit emotional expressions.


Natural logic Textual inference Emotion detection Implicit emotional expression 



This work is supported by National Natural Science Foundation of China(61402341, 61402119) and Bidding Project of GDUFS Laboratory of Language Engineering and Computing(LEC2016ZBKT001, LEC2016ZBKT002).


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Han Ren
    • 1
  • Yafeng Ren
    • 2
    Email author
  • Xia Li
    • 1
  • Wenhe Feng
    • 1
  • Maofu Liu
    • 3
  1. 1.Laboratory of Language Engineering and ComputingGuangdong University of Foreign StudiesGuangzhouChina
  2. 2.Collaborative Innovation Center for Language Research and ServicesGuangdong University of Foreign StudiesGuangzhouChina
  3. 3.College of Computer Science and TechnologyWuhan University of Science and TechnologyWuhanChina

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