한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제17권11호
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  • Pages.1286-1295
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  • 2014
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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빅데이터 선호도 분석 시스템 설계

Design of Big Data Preference Analysis System

  • Son, Sung Il (Department of Computer & Information Engineering Graduate School, Cheongju University) ;
  • Park, Chan Khon (Department of Computer & Information Engineering Graduate School, Cheongju University)
  • 투고 : 2014.07.16
  • 심사 : 2014.10.02
  • 발행 : 2014.11.30
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초록

This paper suggests the way that it could improve the reliability about preference of user's feedback by adding weighting factor on sentiment analysis, and efficiently make a sentiment analysis of users' emotional perspective on the big data massively generated on twitter. To solve errors on earlier studies, this paper has improved recall and precision of sensibility determination by using sensibility dictionary subdivided sentiment polarity based on the level of sensibility and given impotance to sensibility determination by populating slang, new words, emoticons and idiomatic expressions not in the system dictionary. It has considered the context through conjunctive adverbs fixed in korean characteristics which are free to the word order. It also recognize sensibility words such as TF(Term Frequency), RT(Retweet), Follower which are weighting factors of preference and has increased reliability of preference analysis considering weight on 'a very emotional tweet', 'a recognised tweet from users' and 'a tweeter influencer'

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참고문헌

  1. S.C. Yoon, H. Namgung, S.K. Yang, and H.K. Kim, "Big Data Driven Semantic Web Technology Trends large," The Korean Institute of Communications and Information Sciences, Vol, 29, No. 11, pp. 24-29, 2013.
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  6. J.H. Han, "How Do We Define Korean Subject : a Typological Perspective, Focusing on Predicate Type-centered Definition of Korean Subject," The Association for Korean Linguistics, Vol. 60, pp. 189-225, 2013.
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  8. T.W. Seo, M.G. Park, and C.S. Kim, "Design and Implementation of the Extraction Mashup for Reported Disaster Information on SNSs," Journal of Korea Multimedia Society, Vol. 16, No. 1, pp. 1297-1304, 2013. https://doi.org/10.9717/kmms.2013.16.11.1297

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