Abstract
The popularity of World Wide Web has brought a latest way of expressing the sentiments of individuals. Millions of users express their sentiments on Twitter, making it a precious platform for analyzing the public sentiment. This paper proposes a 3-step algorithm for sentiment analysis. Cleaning, Entity identification, and Classification are the 3 steps. Finally we measure the performance of the classifier using recall, precision and accuracy.
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Supriya, B. N., Kallimani, V., Prakash, S., & Akki, C. B. (2016). Twitter sentiment analysis using binary classification technique. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 168, pp. 391–396). Springer Verlag. https://doi.org/10.1007/978-3-319-46909-6_36
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