Proceedings of the Korean Society of Computer Information Conference (한국컴퓨터정보학회:학술대회논문집)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Text Classification by Deep Learning Fusion

딥러닝 융합에 의한 텍스트 분류

  • Shin, Kwang-Seong (Dept. of Digital Contents Eng, Wonkwang University) ;
  • Ham, Seo-Hyun (School of Computer Information & Communication Eng. Kunsan National University) ;
  • Shin, Seong-Yoon (School of Computer Information & Communication Eng. Kunsan National University)
  • 신광성 (원광대학교 디지털콘텐츠공학과) ;
  • 함서현 (군산대학교, 컴퓨터정보통신공학부) ;
  • 신성윤 (군산대학교, 컴퓨터정보통신공학부)
  • Published : 2019.07.10
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Abstract

This paper proposes a fusion model based on Long-Short Term Memory networks (LSTM) and CNN deep learning methods, and applied to multi-category news datasets, and achieved good results. Experiments show that the fusion model based on deep learning has greatly improved the precision and accuracy of text sentiment classification.

Keywords