Opinion Classification in Professional Sports Fan Sites using Topic Keyword-Based Sentiment Analysis 


Vol. 45,  No. 4, pp. 390-394, Apr.  2018
10.5626/JOK.2018.45.4.390


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  Abstract

In this study, we propose the classification method using topic keyword-based sentiment analysis through the posts of professional sports fan sites in Korea. We studied ways to take into account the use of special communication methods or vocabulary in the community and defined keywords based on the characteristics of the topic or frequency of the community"s words. In addition, we presented a new sentiment analysis approach that utilizes the use of keyword pools and the proximity relation to keywords. Through three years of actual community dataset, sentiment analysis based on the topic keyword is more effective than the existing method and reflects the community environment.


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  Cite this article

[IEEE Style]

H. Byun, S. Jeong, C. Kim, "Opinion Classification in Professional Sports Fan Sites using Topic Keyword-Based Sentiment Analysis," Journal of KIISE, JOK, vol. 45, no. 4, pp. 390-394, 2018. DOI: 10.5626/JOK.2018.45.4.390.


[ACM Style]

Hyungho Byun, Sihyun Jeong, and Chong-kwon Kim. 2018. Opinion Classification in Professional Sports Fan Sites using Topic Keyword-Based Sentiment Analysis. Journal of KIISE, JOK, 45, 4, (2018), 390-394. DOI: 10.5626/JOK.2018.45.4.390.


[KCI Style]

변형호, 정시현, 김종권, "주제 핵심어 기반 감정 분석을 통한 프로 스포츠 팬 사이트에서의 여론 분류 기술," 한국정보과학회 논문지, 제45권, 제4호, 390~394쪽, 2018. DOI: 10.5626/JOK.2018.45.4.390.


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