Abstract
In the recent era of Internet, social network plays very important role and occupies majority of share in data sharing between various groups. The data in social sites contain multidimensional data posted by different types of people. The posting contain people observations, thoughts, opinions, decisions and the rationale behind those decisions. Based on these postings or tweets one can analyse the sentiment about that specific product, service, event or any other participating by sharing their opinions, activity thoughts and ideas. In this paper, efficient algorithms are discussed for sentiment analysis of the tweets. The opinion on a specific topic mainly depends on the people, also the accuracy of opinions mining depends on the polarity strength. In this paper various Machine learning algorithms and various pre-processing techniques that make the data ready for opinion mining are discussed.
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Jasti, S., Mahalakshmi, T.S. (2019). A Review on Sentiment Analysis of Opinion Mining. In: Mallick, P., Balas, V., Bhoi, A., Zobaa, A. (eds) Cognitive Informatics and Soft Computing. Advances in Intelligent Systems and Computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_58
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DOI: https://doi.org/10.1007/978-981-13-0617-4_58
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