지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제4호
- 발행연도
- 2021.8
- 수록면
- 818 - 833 (16page)
- DOI
- 10.3745/JIPS.04.0221
이용수
초록· 키워드
오류제보하기
To address the problems of low precision rate, insufficient feature extraction, and poor contextual ability inexisting text sentiment analysis methods, a mixed model account of a CNN-BiLSTM-TE (convolutional neuralnetwork, bidirectional long short-term memory, and topic extraction) model was proposed. First, Chinese textdata was converted into vectors through the method of transfer learning by Word2Vec. Second, local featureswere extracted by the CNN model. Then, contextual information was extracted by the BiLSTM neural networkand the emotional tendency was obtained using softmax. Finally, topics were extracted by the term frequencyinversedocument frequency and K-means. Compared with the CNN, BiLSTM, and gate recurrent unit (GRU)models, the CNN-BiLSTM-TE model’s F1-score was higher than other models by 0.0147, 0.006, and 0.0052,respectively. Then compared with CNN-LSTM, LSTM-CNN, and BiLSTM-CNN models, the F1-score washigher by 0.0071, 0.0038, and 0.0049, respectively. Experimental results showed that the CNN-BiLSTM-TEmodel can effectively improve various indicators in application. Lastly, performed scalability verificationthrough a takeaway dataset, which has great value in practical applications.
목차
등록된 정보가 없습니다.
참고문헌 (14)
참고문헌 신청
J. Li / 2018 / Research on product feature extraction and sentiment classification of short online review based on deep learning / Chinese Journal of Information Studies : Theory & Application 41(2):143~148
H. Tang / 2009 / A survey on sentiment detection of reviews / Expert Systems with Applications 36(7):10760~10773
J. F. Xu / 2015 / Hybrid algorithm framework for sentiment classification of chinese based on semantic comprehension and machine learning / Computer Science 42(6):61~66
E. Boiy / 2009 / A machine learning approach to sentiment analysis in multilingual web texts / Information Retrieval 12(5):526~558
Y. X. He / 2017 / A deep learning model enhanced with emotion semantics for microblog sentiment analysis / Chinese Journal of Computers 40(4):773~790
H. Tang / 2009 / A survey on sentiment detection of reviews / Expert Systems with Applications 36(7):10760~10773
J. F. Xu / 2015 / Hybrid algorithm framework for sentiment classification of chinese based on semantic comprehension and machine learning / Computer Science 42(6):61~66
E. Boiy / 2009 / A machine learning approach to sentiment analysis in multilingual web texts / Information Retrieval 12(5):526~558
Y. X. He / 2017 / A deep learning model enhanced with emotion semantics for microblog sentiment analysis / Chinese Journal of Computers 40(4):773~790
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
An Attention-Based CNN-BiLSTM Model for Korean Voice Phishing Detection
한국정보과학회 학술발표논문집
2022 .06
-
CNN과 BiLSTM을 이용한 한국어 텍스트 분류 모델의 성능 비교: 보이스 피싱 대화 데이터 기반
Proceedings of KIIT Conference
2023 .06
-
Flexibility Availability Forecasting of Distributed Energy Resources for Virtual Power Plant using Hybrid CNN-BiLSTM Network
대한전기학회 학술대회 논문집
2024 .07
-
BiLSTM을 사용한 개선된 타켓 트랙킹 연구
한국항공우주학회 학술발표회 초록집
2021 .07
-
Transfer Learning 기반 BiLSTM을 통한 밀링공정 절삭력 예측
한국정밀공학회 학술발표대회 논문집
2020 .09
-
A Study on Sales Prediction Model Based on BiLSTM-GAT Using Credit Card Transaction Data
Journal of KIISE
2024 .09
-
BiLSTM모델을 이용한 사용자 평균 평점을 통한 온라인 후기 평점 예측
Proceedings of KIIT Conference
2024 .05
-
CNN-BiLSTM과 BERT 기반 연구 논문 분류 기법의 설계
Proceedings of KIIT Conference
2023 .06
-
The SOH Prediction of lithium-Ion Battery based on PSO-CNN-BiLSTM Deep Learning Model
한국자동차공학회 춘계학술대회
2024 .06
-
모바일 엣지 컴퓨팅(MEC)을 위한 BiLSTM을 이용한 심층 강화 학습 기반 태스크 오프로딩 알고리즘
멀티미디어학회논문지
2024 .08
-
다양한 변수에 따른 CNN 성능 분석
정보 및 제어 논문집
2019 .04
-
Dance Movement Recognition based on Deep Learning
IEIE Transactions on Smart Processing & Computing
2024 .06
-
긍정과 부정 이미지 기반 데이터 편향에 따른 CNN모델의 차이 연구
대한인간공학회 학술대회논문집
2022 .10
-
The Method for Generating Recommended Candidates through Prediction of Multi-Criteria Ratings Using CNN-BiLSTM
JIPS(Journal of Information Processing Systems)
2021 .08
-
Survey of the 3D Convolutional Neural Networks for Video Action Recognition
대한전자공학회 학술대회
2022 .06
-
BiLSTM을 이용한 SDI(하천유량가뭄지수)예측
대한토목학회 학술대회
2024 .10
-
TCN-BiLSTM 앙상블 모델 기반 심전도를 이용한 운전자 식별 시스템
한국차세대컴퓨팅학회 논문지
2024 .04
-
Encoding Dictionary Feature for Deep Learning-based Named Entity Recognition
International JOURNAL OF CONTENTS
2021 .12
-
A Study of Facial Organs Classification System Based on Fusion of CNN Features and Haar-CNN Features
한국정보기술학회논문지
2018 .11
-
Insight CNN
한국정보과학회 학술발표논문집
2017 .12
이 논문의 저자 정보
최근 본 자료
댓글(0)
0