A Novel Deep Learning-based Sentiment Analysis Method Enhanced with Emojis in Microblog Social Networks. Issue 5 (4th May 2023)

• Record Type: Journal Article
• Authors: Li, Xianyong; Zhang, Jiabo; Du, Yajun; Zhu, Jian; Fan, Yongquan; Chen, Xiaoliang
• Is Part Of: Enterprise information systems. Volume 17:Issue 5(2023)
• Publication Date: 2023-05-04
• Subjects: Sentiment analysis -- microblog reviews -- emoji embedding -- BiLSTM -- attention mechanism; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2022.2037160
• Languages: English
• ISSNs: 1751-7575

Abstract

ABSTRACT: To exactly classify sentiments of microblog reviews with emojis in microblog social networks, this paper first proposes an emoji vectorisation method to achieve emoji vectors. Then, an emoji-text integrated bidirectional LSTM (ET-BiLSTM) model for sentiment analysis is proposed. In this model, review text-based sentence representations are extracted by a bidirectional LSTM network. Emoji-based auxiliary representations are obtained by a new attention mechanism. The two representations are further integrated into final review representation vectors. Finally, experimental results indicate that the proposed ET-BiLSTM model improves the performance of sentiment classification evaluated by macro-P, macro-R and macro-F1 scores in microblog social networks.