Related references
Note: Only part of the references are listed.Deep Learning-based Text Classification: A Comprehensive Review
Shervin Minaee et al.
ACM COMPUTING SURVEYS (2022)
Event Temporal Relation Extraction with Attention Mechanism and Graph Neural Network
Xiaoliang Xu et al.
TSINGHUA SCIENCE AND TECHNOLOGY (2022)
NLP for Requirements Engineering: Tasks, Techniques, Tools, and Technologies
Alessio Ferrari et al.
2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: COMPANION PROCEEDINGS (ICSE-COMPANION 2021) (2021)
Novel Technique for Script Translation using NLP: Performance Evaluation
Darshana Patil et al.
2021 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI) (2021)
Sentiment Analysis Based on Deep Learning: A Comparative Study
Nhan Cach Dang et al.
ELECTRONICS (2020)
Research on Classification Algorithms for Attention Mechanism
Zhuoqun Yang et al.
2020 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2020) (2020)
A REGULARIZED ATTENTION MECHANISM FOR GRAPH ATTENTION NETWORKS
Uday Shankar Shanthamallu et al.
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (2020)
Lattice LSTM for Chinese Sentence Representation
Yue Zhang et al.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2020)
Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion
Asad Abdi et al.
INFORMATION PROCESSING & MANAGEMENT (2019)
Sentiment Analysis of US Airlines Tweets using LSTM/RNN
R. Monika et al.
PROCEEDINGS OF THE 2019 IEEE 9TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (IACC 2019) (2019)
Sentiment Analysis of Twitter Data: Emotions Revealed Regarding Donald Trump during the 2015-16 Primary Debates
Malak Abdullah et al.
2017 IEEE 29TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2017) (2017)