Sentiment and Context-Aware Hybrid DNN With Attention for Text Sentiment Classification-Reference-Cited by-同舟云学术

Sentiment and Context-Aware Hybrid DNN With Attention for Text Sentiment Classification

Published:2023 Issue: Volume:11 Page:28162-28179
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khan Jawad¹^ORCID,Ahmad Niaz¹,Khalid Shah²^ORCID,Ali Farman³^ORCID,Lee Youngmoon¹^ORCID

Affiliation:

1. Department of Robotics, Hanyang University, Ansan, South Korea

2. School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan

3. Department of Computer Science and Engineering, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul, South Korea

Funder

Research Fund of Hanyang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10076431.pdf?arnumber=10076431

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4. Contextual semantics for sentiment analysis of Twitter

5. EnSWF: effective features extraction and selection in conjunction with ensemble learning methods for document sentiment classification

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