Emotion and Cause

Linguistic Theory and Computational Implementation

  • Sophia Yat Mei Lee

Part of the Studies in East Asian Linguistics book series (SEAL)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Sophia Yat Mei Lee
    Pages 37-45
  3. Sophia Yat Mei Lee
    Pages 87-100
  4. Back Matter
    Pages 143-151

About this book


This work argues that cause events, being the most tangible component of emotion, provide a rich dimension of how emotions should be classified. While it is often claimed that emotional concepts cannot be defined, this work views emotion as a response triggered by actual or perceived events, specifically focusing on the interaction between five primary emotions (Happiness, Sadness, Fear, Anger, and Surprise) and cause events. Cause events are examined in terms of two dimensions, namely transitivity and epistemicity. By incorporating the semantic and syntactic information of emotion cause events, this representation of emotion not only provides deep linguistic criteria of emotion cause events, but also offers an event-based approach to emotion classification. A text-driven, rule-based system for detecting the causes of emotion is then developed to establish the validity of the proposed linguistic model for emotion detection and classification. The system shows promising results.


Linguistic Theory Cause Event Computational Approach Emotion Analysis Emotion Cause Detection and Classification Emotion-cause Corpus Language Technology Linguistic Model of Emotion

Authors and affiliations

  • Sophia Yat Mei Lee
    • 1
  1. 1.The Hong Kong Polytechnic University Hong KongHong Kong

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2019
  • Publisher Name Springer, Singapore
  • eBook Packages Social Sciences Social Sciences (R0)
  • Print ISBN 978-981-10-6192-9
  • Online ISBN 978-981-10-6194-3
  • Series Print ISSN 2522-5103
  • Series Online ISSN 2522-5111
  • Buy this book on publisher's site