OCC model-based emotion extraction from online reviews

Luwen Huangfu, Wenji Mao, Daniel Zeng, Lei Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Extracting emotions from online reviews is crucial to many security-related applications as well as applications in other domains. Traditional approaches to emotion extraction have mainly focused on mining the polarities of opinions or using annotated data to extract emotion types. Emotion theories, which identify the underlying cognitive structure and emotional dimensions that are key to generate emotions, have almost been totally ignored in previous work. To facilitate the automatic extraction of emotions from textual data, in this paper, we propose an emotion model based approach to emotion extraction from online reviews. Informed by the widely used OCC emotion model, we employ a statistical method to extract emotion words with their dimension values from texts, and implement OCC model to obtain emotions based on the emotion-dimension dictionary. We conduct an empirical study using security-related news reviews. The experimental results demonstrate the effectiveness of our proposed approach.

Original languageEnglish (US)
Title of host publicationIEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publicationBig Data, Emergent Threats, and Decision-Making in Security Informatics
Pages116-121
Number of pages6
DOIs
StatePublished - Sep 9 2013
Event11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013 - Seattle, WA, United States
Duration: Jun 4 2013 → Jun 7 2013

Publication series

NameIEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics

Other

Other11th IEEE International Conference on Intelligence and Security Informatics, IEEE ISI 2013
CountryUnited States
CitySeattle, WA
Period6/4/13 → 6/7/13

Keywords

  • OCC emotion model
  • emotional dimensions
  • opinion mining

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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    Huangfu, L., Mao, W., Zeng, D., & Wang, L. (2013). OCC model-based emotion extraction from online reviews. In IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics (pp. 116-121). [6578799] (IEEE ISI 2013 - 2013 IEEE International Conference on Intelligence and Security Informatics: Big Data, Emergent Threats, and Decision-Making in Security Informatics). https://doi.org/10.1109/ISI.2013.6578799