Automatic opinion leader recognition in group discussions

Yu Chang Ho, Hao Min Liu, Hui Hsin Hsu, Chun Han Lin, Yao Hua Ho, Ling Jyh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we propose an efficient approach to identify the opinion leader from group discussion. This approach is able to recognize the opinion leader without analyzing semantic and syntactic features, which may cost a lot more computing effort. We firstly propose algorithms to evaluate the degree of participation and the emotion expression from the speaking of each member during group discussion. Moreover, by conducting lab-scale experiment, a well-trained model, which is tested on single dataset as well as on cross dataset, is obtained to recognize the opinion leader. Finally, we conduct a field experiment to evaluate the proposed system in a real world setting. The results show that the accuracy of opinion leader identification could achieve to 94.68% on Berlin dataset, 76% on Youtube data and 73.33% on live group discussion. Thus, with this simple and efficient system, opinion leader can be successfully identified in various conditions.

Original languageEnglish
Title of host publicationTAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-145
Number of pages8
ISBN (Electronic)9781509057320
DOIs
Publication statusPublished - 2017 Mar 16
Event2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 - Hsinchu, Taiwan
Duration: 2016 Nov 252016 Nov 27

Publication series

NameTAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings

Other

Other2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
CountryTaiwan
CityHsinchu
Period16/11/2516/11/27

Keywords

  • Word-of-mouth communication
  • emotion recognition
  • group discussion
  • influence
  • opinion leader

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Optimization
  • Information Systems

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  • Cite this

    Ho, Y. C., Liu, H. M., Hsu, H. H., Lin, C. H., Ho, Y. H., & Chen, L. J. (2017). Automatic opinion leader recognition in group discussions. In TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings (pp. 138-145). [7880177] (TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TAAI.2016.7880177