Sentiment Analysis Tools and Techniques: A Review

2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)(2022)

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摘要
Sentiment analysis is most researched area in these days. There is a lot of data on the internet that needs to be analyzed before it can be used. Many researchers have concentrated on deciphering these data. Sentiment analysis techniques aim to uncover concealed thoughts, emotions, or subjectivity in a document. Sentiment analysis is carried out using machine learning methodologies. Recently published research sentiment analysis is examined in this study to provide context, and they are classified according to their information extraction tasks. Also examined and discussed are the problems faced and prospective challenges on this study issue.
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关键词
Machine Learning,Sentiment Analysis,subjective classification,extraction tasks
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