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Volume & Issue no: Volume 6, Issue 5, September - October 2017

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Title:
Sentiment Analysis of Social Media Data
Author Name:
K.Sandhya Rani, Dr. D. Kavitha
Abstract:
ABSTRACT: Social media networks have received wide attention today. Now a days they have become the main origin of user generated content. Analysis of this user generated content resulted wide applications like Sentiment Analysis(SA), Event detection, Forecasting systems, Topic modeling, Crowd-sourcing, Spam detection etc. In this project tweets on "Demonetization" have been collected using Twitter Streaming Application Programming Interface (API). Naive Bayes, Maximum Entropy Classifiers are used to analyze the tweets. ON comparing the results we observed that Maximum Entropy classifier gives better results than Naive bayes classifier. Keywords: R programming, data analytics, SA, Demonetization in India
Cite this article:
K.Sandhya Rani, Dr. D. Kavitha , " Sentiment Analysis of Social Media Data" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 5, September - October 2017 , pp. 151-156 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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