한국컴퓨터정보학회:학술대회논문집 (Proceedings of the Korean Society of Computer Information Conference)
- 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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- Pages.385-386
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- 2019
딥러닝 융합에 의한 텍스트 분류
Text Classification by Deep Learning Fusion
- 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)
- 발행 : 2019.07.10
초록
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.