Journal of Platform Technology

  • 제11권2호
  • /
  • Pages.3-14
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  • 2023
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  • 2289-0181(pISSN)
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  • 2289-019X(eISSN)
ICT플랫폼학회 (ICT Platform Society)
권호 표지

A study on real-time internet comment system through sentiment analysis and deep learning application

  • Hae-Jong Joo (University of Kangnam, Dept. of KNU Cham-Injae College) ;
  • Ho-Bin Song (University of Mokwon, Dept. of Electrical & Electric Engineering)
  • 투고 : 2023.03.27
  • 심사 : 2023.04.17
  • 발행 : 2023.04.30
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초록

This paper proposes a big data sentiment analysis method and deep learning implementation method to provide a webtoon comment analysis web page for convenient comment confirmation and feedback of webtoon writers for the development of the cartoon industry in the video animation field. In order to solve the difficulty of automatic analysis due to the nature of Internet comments and provide various sentiment analysis information, LSTM(Long Short-Term Memory) algorithm, ranking algorithm, and word2vec algorithm are applied in parallel, and actual popular works are used to verify the validity. If the analysis method of this paper is used, it is easy to expand to other domestic and overseas platforms, and it is expected that it can be used in various video animation content fields, not limited to the webtoon field

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참고문헌

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