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Sentiment Analysis using Naïve bayes Algorithm
Open Access   Article

Sentiment Analysis using Naïve bayes Algorithm
Pramod M. Mathapati1 , A.S. Shahapurkar2 , K.D. Hanabaratti3
1 Dept. of Computer Science, Gogte Institute of Technology, Belagavi, India.
2 Dept. of Computer Science, Gogte Institute of Technology, Belagavi, India .
3 Dept. of Computer Science, Gogte Institute of Technology, Belagavi, India .
Correspondence should be addressed to: pramodkle064@gmail.com.

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-7 , Page no. 75-77, Jul-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i7.7577

Online published on Jul 30, 2017

Copyright © Pramod M. Mathapati, A.S. Shahapurkar, K.D. Hanabaratti . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
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Citation

IEEE Style Citation: Pramod M. Mathapati, A.S. Shahapurkar, K.D. Hanabaratti , “Sentiment Analysis using Naïve bayes Algorithm”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.75-77, 2017.

MLA Style Citation: Pramod M. Mathapati, A.S. Shahapurkar, K.D. Hanabaratti "Sentiment Analysis using Naïve bayes Algorithm." International Journal of Computer Sciences and Engineering 5.7 (2017): 75-77.

APA Style Citation: Pramod M. Mathapati, A.S. Shahapurkar, K.D. Hanabaratti , (2017). Sentiment Analysis using Naïve bayes Algorithm. International Journal of Computer Sciences and Engineering, 5(7), 75-77.
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Abstract :
Sentiment analysis is trending topic of research which works on data which is got from review websites, social networks. Today users having common platforms like Blogs, micro blogs, review sites, twitter and other social networks through which they can post their feedbacks. Organizations use Sentiment Analysis to understand user’s reviews and feedbacks about the product which they have released. In this project development of a Sentiment analysis using a generic method which can be applied for sentiment analysis as well as Emotional Analysis, product reviews is done based on Naïve Bayes classifier method. Naive bayes Classifier is the better choice for Sentiment Analysis as it is more efficient and gives Quick results compared to other techniques such as Support Vector Machine and Maximum Entropy.
Key-Words / Index Term :
Sentiment Analysis, Modified k means, NLP, Opinion Mining
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