Sentiment Classification Of Movie Review And Twitter Data Using Machine Learning
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International Journal of Computer & Organization Trends (IJCOT) | 
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| © 2019 by IJCOT Journal | ||
| Volume - 9 Issue - 3 |
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| Year of Publication : 2019 | ||
| Authors : Prafulla Mohapatra, Rohit Kumar Singh, Shashank Pandey, PrashanthAnand Kumar, Mrs.Asha K N, A.Ravi Kumar | ||
| DOI : 10.14445/22492593/IJCOT-V9I3P301 |
Citation
MLA Style:Prafulla Mohapatra, Rohit Kumar Singh, Shashank Pandey, PrashanthAnand Kumar, Mrs.Asha K N "Sentiment Classification Of Movie Review And Twitter Data Using Machine Learning" International Journal of Computer and Organization Trends 9.3 (2019): 1-8.
APA Style:Prafulla Mohapatra, Rohit Kumar Singh, Shashank Pandey, PrashanthAnand Kumar, Mrs.Asha K N (2019). Sentiment Classification Of Movie Review And Twitter Data Using Machine Learning. International Journal of Computer and Organization Trends, 9(3), 1-8.
Abstract
Over three billion people use some form of social media in their day to day lives. Therefore, it is not unwise to say that social media is one of the single largest collection of data about humans present, in the world currently. Sentiment analysis is one of the most common operations done on social media data. In this paper, we perform sentiment analysis, using a variety of vectorizers and classifiers to see which combination yields the highest accuracy. Analysis is performed on Twitter and movie review data. The two data sets are inherently different and therefore there could be a difference between the accuracies. The front end of this application is web based. Twitter and movie review data are collected from two API’s in real time and then the different tweets/reviews are classified as either being positive or negative. This is then presented in the form of a donut graph.
References
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[4] Ngrams Kenneth Ward Church AT&T Bell Laboratories Murray Hill, N.J. USA This email address is being protected from spambots. You need JavaScript enabled to view it..
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Keywords
Sentiment Analysis, Machine Learning, Information Retrieval, Opinion Mining and Natural language processing