Conference proceeding
Sentiment community detection in social networks
Proceedings of the 2011 iConference, pp 804-805
08 Feb 2011
Abstract
With the increasing popularity of social networking sites and Web 2.0, people are building social relationships and expressing their opinions in the cyberspace. In this study, we introduce several novel methods to identify online communities with similar sentiments in online social networks. Our preliminary experiment on a real-world dataset demonstrates that our proposed method can detect interesting sentiment communities in social networks.
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34 citations in Scopus
Details
- Title
- Sentiment community detection in social networks
- Creators
- Kaiquan Xu - City University of Hong KongJiexun Li - Drexel UniversityStephen Liao - City University of Hong KongKaidi Xu - Computer Science (Computing)
- Publication Details
- Proceedings of the 2011 iConference, pp 804-805
- Conference
- 2011 iConference
- Series
- iConference '11
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Scopus ID
- 2-s2.0-79952597397
- Other Identifier
- 991019173417904721