Computer Science and Information Systems 2014 Volume 11, Issue 1, Pages: 215-228
https://doi.org/10.2298/CSIS130217004T
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Sentiment analysis based on fuzzy propagation in online social networks: A case study on TweetScope

Trung Duc Nguyen (Department of Computer Engineering Yeungnam University Gyeongsan, Korea)
Jung Jason J. (Universiti Malaya Kuala Lumpur, Malaysia)

Understanding customers’ opinion and subjectivity is regarded as an important task in various domains (e.g., marketing). Particularly, with many types of social media (e.g., Twitter and FaceBook), such opinions are propagated to other users and might make a significant influence on them. In this paper, we propose a fuzzy propagation modeling for opinion mining by sentiment analysis of online social networks. Thereby, a practical system, called TweetScope, has been implemented to efficiently collect and analyze all possible tweets from customers.

Keywords: sentiment analysis, opinion mining, online social media, fuzzy propagation, information diffusion