Sentiment analysis based on fuzzy propagation in online social networks: A case study on TweetScope | Zendy

Duc Nguyen Trung | Zendy; Jason J. Jung | Zendy

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Sentiment analysis based on fuzzy propagation in online social networks: A case study on TweetScope

Author(s) -

Duc Nguyen Trung,

Jason J. Jung

Publication year - 2014

Publication title -

computer science and information systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.244

H-Index - 24

eISSN - 2406-1018

pISSN - 1820-0214

DOI - 10.2298/csis130217004t

Subject(s) - computer science , sentiment analysis , subjectivity , task (project management) , social media , fuzzy logic , artificial intelligence , data science , machine learning , world wide web , philosophy , management , epistemology , economics

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.

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