Sentiment Analysis of Twitter Data : A Survey

Authors(1) :-Radhi Desai

Sentiment analysis of Twitter data became a research tread the last decade. Among popular social networks portals, Twitter has been the point of attraction to several researcher in important areas like prediction of democratic several events, consumer brands, movie box-office, stock market, popularity of celebrities etc. The term sentiment refers to the feelings or opinion of person towards some particular domain. Analysis of sentiment (opinions) and its classification based on polarity is a challenging task. Other challenges are overwhelming amounts of information on one topic and they all are expressed on different ways. Lot of work has been done on sentiment analysis of Twitter data and lot needs to be done.There are many techniques for sentiment analysis. Supervised, unsupervised and combination of both of them.

Authors and Affiliations

Radhi Desai
M.E Scholar, Computer Engineering Department, Sardar Vallabhbhai Patel Institute of Technology, Vasad, Gujarat, India

Sentiment analysis, Twitter, Data Mining

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Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 464-470
Manuscript Number : CSEIT183134
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Radhi Desai, "Sentiment Analysis of Twitter Data : A Survey", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.464-470, January-February-2018.
Journal URL : http://ijsrcseit.com/CSEIT183134

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