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View all- Kabir MOthman ZYaakub M(2024)A Hybrid Frequency Based, Syntax, and Conditional Random Field Method for Implicit and Explicit Aspect ExtractionIEEE Access10.1109/ACCESS.2024.340347912(72361-72373)Online publication date: 2024
A Systematic Review of Cross-Lingual Sentiment Analysis: Tasks, Strategies, and Prospects
Authors: 
Chuanjun Zhao, Meiling Wu, Xinyi Yang, Wenyue Zhang, Shaoxia Zhang, Suge Wang, Deyu LiAuthors Info & Claims
Chuanjun Zhao, Meiling Wu, Xinyi Yang, Wenyue Zhang, Shaoxia Zhang, Suge Wang, Deyu LiAuthors Info & ClaimsArticle No.: 177, Pages 1 - 37
Abstract
Traditional methods for sentiment analysis, when applied in a monolingual context, often yield less than optimal results in multilingual settings. This underscores the need for a more thorough exploration of cross-lingual sentiment analysis (CLSA) methodologies to improve analytical effectiveness. CLSA, confronted with obstacles such as linguistic disparities and a lack of resources, seeks to evaluate sentiments across a range of languages. First, the research background, challenges, existing solution ideas, and evaluation tasks of CLSA are summarized. Subsequently, new perspectives including different granularity levels, machine translation support, and sentiment transfer strategies perspectives are highlighted. Finally, potential avenues for future research are discussed.
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- A Systematic Review of Cross-Lingual Sentiment Analysis: Tasks, Strategies, and Prospects
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Published: 09 April 2024
Online AM: 08 February 2024
Accepted: 31 January 2024
Revised: 18 December 2023
Received: 20 April 2022
Published in CSUR Volume 56, Issue 7
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View all- Kabir MOthman ZYaakub M(2024)A Hybrid Frequency Based, Syntax, and Conditional Random Field Method for Implicit and Explicit Aspect ExtractionIEEE Access10.1109/ACCESS.2024.340347912(72361-72373)Online publication date: 2024
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