The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Facebook Fan Page Evaluation System Based on User Opinion Mining

오피니언 마이닝을 이용한 페이스북 팬 페이지 평가 시스템

  • Received : 2015.12.07
  • Accepted : 2015.12.15
  • Published : 2015.12.30
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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.

본 논문에서는 페이스북에 게시된 글의 어휘 분석 및 호불호를 평가하여, 게시된 글에 대한 정확한 평가를 할 수 있는 시스템을 제안하였다. 기존 평가시 스템과의 성능 비교를 통하여 제안 시스템의 평가 정확도가 높음을 확인하였다.

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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
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Cited by

  1. 협업 필터링과 빈발 패턴을 이용한 개인화된 그룹 추천 vol.41, pp.7, 2016, https://doi.org/10.7840/kics.2016.41.7.768