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[02276] Detection Topic of Bjorka Using LSTM with LDA

  • Session Time & Room : 3E (Aug.23, 17:40-19:20) @E811
  • Type : Contributed Talk
  • Abstract : This paper presents topic modeling for Hacker Bjorka using LSTM with LDA. The Research purpose is to analyze the public opinion of Bjorka and the topics related to him in the online community. The findings reveal that the majority of the public perception of Bjorka is positive, with accuracy of 80,26% and perplexity of -8,28. This study provides a valuable contribution to the field of computational text analysis and its applications in the online community.
  • Classification : 68T07
  • Author(s) :
    • Muhammad Muhajir (Universitas Gadjah Mada )
    • Dedi Rosadi (Universitas Gadjah Mada )