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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.

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