SENTIMENT ANALYSIS USING MAXIMUM ENTROPY ALGORITHM IN BIG DATA

Abstract

              As years are passing people are getting more and more attracted towards Social Media Sites and they had  started attaching there life with these electronic gadgets. As this things are happening the data being created and shared by millions of people that is increasing per second and these data are not easy to store and manage. As we know that everything in this world has some meaning full existence in this world   in that similar way this Big data can also be used for some application and for that the analysis done is called Sentiment Analysis. But Analyzing this large dataset is not so easy , and same way Sentiment Analysis is lacking for   Negation Statement case. This problem is reducing the accuracy of Sentiment Analysis which can be verified easily with the proposed methodology in this paper.

                                       KEYWORDS:

             Negation, Sentiment Analysis, Big data

Author

Mr.T.RAJAN, K.RANJANA

[1] Ramesh R, Divya G , Divya D , Merin K Kurian , Vishnuprabha V,     " Big Data Sentiment Analysis using Hadoop" in Volume I April 2015, IJIRST, ISSN(online):2349-6010.

[2] Andrea Esuli and Fabrizio Sebastiani ,"SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining

[3] Apoorv Agrawal , Jasneet Singh Sabarwal  , "End to End Sentiment Analysis of Twitter data " Proceeding of the workshop on Information Extraction & Entity Analysis on Social media data, COLING 2012, Mumbai , December 2012 .

[4] Efthymois Kouloumpis , Theresa Wilson , Johanan Moore , "Twitter Sentiment Analysis : The Good the Bad and the OMG! "fifth International AAAI Conference on Weblogs and Social media.

[5] Milagros Fernandez-Gavilanes , Tavara Alvarez-Lopez , Jonathan Juncal-Martinez , Enrique Costa-Montenegro , Francisco Javier Gonzalez- Castano ,  "An Unsupervised Approach for Sentiment Analysis in Twitter", Proceedings of the International Workshop on Semantic Evaluation ,june 4-5 2015.

[6]  Manisha  Shinde-Pawar ,  "Formation  of  smart  Sentiment  analysis  Technique  for  Big  Data  "Vol.2  ,Issue  12  ,December  2014IJIRCCE.

[7] M.Vasuki , J.Arthi, K. Kayalvizhi , "Decision Making using Sentiment Analysis from twitter" Vol.2 ,Issue 12 ,December 2014 , IJIRCCE(an ISO3297:2007 Certified organization).