Sentiment Analysis Based on Fuzzy Propagation in Online Social Networks: a Case study on TweetScope

Title
Sentiment Analysis Based on Fuzzy Propagation in Online Social Networks: a Case study on TweetScope
Author(s)
정재은응웬트룽둑
Keywords
QUERY TRANSFORMATION; FOLKSONOMIES; COMMUNITIES
Issue Date
201401
Publisher
COMSIS CONSORTIUM
Citation
COMPUTER SCIENCE AND INFORMATION SYSTEMS, v.11, no.1, pp.215 - 228
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 Face Book), 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 Tweet Scope, has been implemented to efficiently collect and analyze all possible tweets from customers.
URI
http://hdl.handle.net/YU.REPOSITORY/33520http://dx.doi.org/10.2298/CSIS130217004T
ISSN
1820-0214
Appears in Collections:
공과대학 > 컴퓨터공학과 > Articles
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