Leveraging Machine Translation to Enhance Sentiment Analysis on Multilingual Text
Pages 242 - 248
Abstract
This research investigates the complexity of sentiment analysis in the multilingual context of Malaysia, where various languages, including English and Malay, are often intermixed. Since existing sentiment analysis tools are predominantly cater for single-language scenarios only, it results in creating a gap for effective analysis in this diverse linguistic environment. To bridge this gap, a comprehensive solution utilizing Machine Translation (MT) to homogenize the language in code-mixed texts is experimented in this study. Several approaches to sentiment analysis were utilized to showcase the feasibility of MT in enhancing sentiment analysis. By translating code-mixed text into its equivalent text in a uniform language accurately, a significant improvement in sentiment analysis were observed, indicating the contribution of this work in surpassing language barriers in multilingual sentiment analysis.
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Published In
February 2024
395 pages
ISBN:9798400708329
DOI:10.1145/3651781
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International 4.0 License.
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Association for Computing Machinery
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Published: 30 May 2024
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ICSCA 2024
ICSCA 2024: 2024 13th International Conference on Software and Computer Applications
February 1 - 3, 2024
Bali Island, Indonesia
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