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Sentiment Analysis Based on Fuzzy Propagation in Online Social Networks: a Case study on TweetScope
Computer Science and Information Systems, Tome 11 (2014) no. 1 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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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.
Keywords: Sentiment analysis; Opinion mining; Online social media; Fuzzy propagation; Information diffusion 
@article{CSIS_2014_11_1_a14,
     author = {Duc Nguyen Trung and Jason J. Jung},
     title = {Sentiment {Analysis} {Based} on {Fuzzy} {Propagation} in {Online} {Social} {Networks:} a {Case} study on {TweetScope}},
     journal = {Computer Science and Information Systems},
     year = {2014},
     volume = {11},
     number = {1},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2014_11_1_a14/}
}
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Duc Nguyen Trung; Jason J. Jung. Sentiment Analysis Based on Fuzzy Propagation in Online Social Networks: a Case study on TweetScope. Computer Science and Information Systems, Tome 11 (2014) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2014_11_1_a14/