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Facebook Fan Page Evaluation System Based on User Opinion Mining
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 Title & Authors
Facebook Fan Page Evaluation System Based on User Opinion Mining
Phan, Trong-Ngoc; Yoo, Myungsik;
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 Abstract
In this paper, we propose the Facebook fan page evaluation system, which evaluates user opinions based on lexicon-based analysis and positive/negative response from users. By comparing the performance with existing evaluation systems, it is verified that the proposed system can evaluate the fan page in more accurate way.
 Keywords
mining;Facebook;fan page;opinion;lexicon-based analysis;
 Language
Korean
 Cited by
1.
협업 필터링과 빈발 패턴을 이용한 개인화된 그룹 추천,김정우;박광현;

한국통신학회논문지, 2016. vol.41. 7, pp.768-774 crossref(new window)
 References
1.
S. Moghaddam and F. Popowich, Opinion Polarity Identification through Adjectives (2010), CoRR, Retrieved Oct. 30, 2014, from http://arxiv.org/abs/1011.4623

2.
F. A. Nielsen, AFINN word database an affective lexicon (2011), Retrieved Sept. 15, 2014, from http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/6010/zip/imm6010.zip

3.
J. Brooke, "A semantic approach to automated text sentiment analysis," M.S. Thesis, Simon Fraser University, Burnaby, Canada, 2009.

4.
S. F. Wu and F. Erlandsson, Social Packets crawler(2013), Retrieved Aug, 15, 2013, from https://github.com/dslfaithdev/SocialCrawler