Sentiment Analysis of Twitter Data : A Survey

Authors

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

Keywords:

Sentiment analysis, Twitter, Data Mining

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Radhi Desai, " Sentiment Analysis of Twitter Data : A Survey, IInternational 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.