Abstract
Sentiment analysis has become an interesting research field in the current era. In recent years, social media users, online portal users are increasing exponentially. People are using blogs, forums, and question answer portals for their basic needs in day to day life. Sentiment analysis mainly focuses on online reviews regarding product, movie, health care, and in many more areas. Applications used for various purposes in day to day life are beneficial for mankind and increase their level of satisfaction. In this work, we have performed a detail analysis of various steps involved along with tools and techniques used in sentiment analysis. We performed a brief comparison among the techniques to analyze which technique offers better performance. This study covers the survey included in the research articles of movie review, product review, and health care. In this work, we have provided a descriptive analysis of preprocessing and noise reduction techniques used in text mining. The machine learning algorithms used in different domain are also compared and future direction of this particular area is identified.
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Panda, B., Panigrahi, C.R., Pati, B. (2022). Methodologies and Tools of Sentiment Analysis: A Review. In: Dehuri, S., Prasad Mishra, B.S., Mallick, P.K., Cho, SB. (eds) Biologically Inspired Techniques in Many Criteria Decision Making. Smart Innovation, Systems and Technologies, vol 271. Springer, Singapore. https://doi.org/10.1007/978-981-16-8739-6_36
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DOI: https://doi.org/10.1007/978-981-16-8739-6_36
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