NDLI: Towards modeling fuzzy propagation for sentiment analysis in online social networks: A case study on TweetScope

Content Provider	IEEE Xplore Digital Library
Author	Duc Nguyen Trung Jung, J.J. Le Anh Vu Kiss, A.
Copyright Year	2013
Description	Author affiliation: Nguyen Tat Thanh Univ., Ho Chi Minh City, Vietnam (Le Anh Vu) \|\| Dept. of Inf. Syst., Eotvos Lorand Univ., Budapest, Hungary (Kiss, A.) \|\| Dept. of Comput. Eng., Yeungnam Univ., Gyeongsan, South Korea (Duc Nguyen Trung; Jung, J.J.)
Abstract	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.
Starting Page	331
Ending Page	338
File Size	4288295
Page Count	8
File Format	PDF
ISBN	9781479915439
e-ISBN	9781479915460
DOI	10.1109/CogInfoCom.2013.6719266
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-02
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Conferences Media Twitter Educational institutions Pragmatics
Content Type	Text
Resource Type	Article

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Towards modeling fuzzy propagation for sentiment analysis in online social networks: A case study on TweetScope