Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/81701
Title: Sentiment analysis for opinions on social media: A survey
Authors: Phan, Huyen Trang
Nguyen, Ngoc Thanh
Hwang, Dosam
Keywords: Sentiment analysis
Sentiment classification
Types of sentiment analysis
Challenges in sentiment analysis
Issue Date: 2021
Series/Report no.: Journal of Computer Science and Cybernetics;Vol.37, No.04 .- P.403–428
Abstract: With the rapid development of the Internet industry, an increasing number of social media platforms have been developed. These social media platforms have become the main channels for communication among most users. Opinions from social media platforms provide the most updated and inclusive information. Sentiments from opinions are a valuable data source for solving many issues. Therefore, sentiment analysis has developed into one of the most popular natural language processing fields. Hence, improving the performance of sentiment analysis methods or discovering new problems related to these methods is essential. In this context, we must be aware of the general information relevant to this area. This survey presents a summary of the necessary stages for building a complete model to be used in sentiment analysis. For each stage, we list the popular techniques that have been widely used in recent years. In addition, discussions and comparisons related to these methods are provided. Additionally, we discuss the challenges and possible research directions for future research in this field.
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/81701
ISSN: 1813-9663
Appears in Collections:Tin học và Điều khiển học (Journal of Computer Science and Cybernetics)

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