Acknowledgement
This research is partially supported by Institute of Information and Telecommunication Techbology of KNU.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference (한국정보통신학회:학술대회논문집)
- 2021.10a
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- Pages.553-554
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- 2021
New Text Sentiment Classification Method
새로운 텍스트 감정 분류 방법
- Shin, Seong-Yoon (Kunsan Natl. University) ;
- Lee, Hyun-Chang (Wonkwang University) ;
- Shin, Kwang-Seong (Wonkwang University) ;
- Kim, Hyung-Jin (Jeonbuk Natl. University) ;
- Lee, Jae-Wan (Kunsan Natl. University)
- Published : 2021.10.03
Abstract
This paper proposes a convergence model based on LSTM and CNN deep learning techniques, and obtains good results by applying it to multi-category news datasets. According to the experiment, the deep learning-based fusion model significantly improved the precision and accuracy of text sentiment classification.
본 논문은 LSTM과 CNN 딥러닝 기법을 기반으로 하는 융합 모델을 제안하고, 다중 카테고리 뉴스 데이터 셋에 적용하여 좋은 결과를 얻는다. 실험에 따르면 딥 러닝 기반의 융합 모델이 텍스트 감정 분류의 정밀도와 정확도를 크게 향상시켰다.