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

Duc Nguyen Trung1 and Jason J. Jung1, 2

  1. Department of Computer Engineering, Yeungnam University
    Gyeongsan, Korea 712-749
    duc.nguyentrung@gmail.com
  2. Universiti Malaya
    Kuala Lumpur, Malaysia
    j2jung@gmail.com

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.

Key words

Sentiment analysis; Opinion mining; Online social media; Fuzzy propagation; Information diffusion

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS130217004T

Publication information

Volume 11, Issue 1 (January 2014)
Year of Publication: 2014
ISSN: 1820-0214 (Print) 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Trung, D. N., Jung, J. J.: Sentiment Analysis Based on Fuzzy Propagation in Online Social Networks: a Case study on TweetScope. Computer Science and Information Systems, Vol. 11, No. 1, 215–228. (2014)