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Reseach Article

Survey: Twitter data Analysis using Opinion Mining

by Adarsh M J, Pushpa Ravikumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 128 - Number 5
Year of Publication: 2015
Authors: Adarsh M J, Pushpa Ravikumar
10.5120/ijca2015906553

Adarsh M J, Pushpa Ravikumar . Survey: Twitter data Analysis using Opinion Mining. International Journal of Computer Applications. 128, 5 ( October 2015), 34-36. DOI=10.5120/ijca2015906553

@article{ 10.5120/ijca2015906553,
author = { Adarsh M J, Pushpa Ravikumar },
title = { Survey: Twitter data Analysis using Opinion Mining },
journal = { International Journal of Computer Applications },
issue_date = { October 2015 },
volume = { 128 },
number = { 5 },
month = { October },
year = { 2015 },
issn = { 0975-8887 },
pages = { 34-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume128/number5/22871-2015906553/ },
doi = { 10.5120/ijca2015906553 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:20:37.942989+05:30
%A Adarsh M J
%A Pushpa Ravikumar
%T Survey: Twitter data Analysis using Opinion Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 128
%N 5
%P 34-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Social Networking is the medium widely used for expressing emotions and opinions in public life through smart phones and other mediums on the Internet. Amongst the popular portals is the Twitter. Twitter has been the point of attraction to several people in research in important areas like prediction of democratic electoral events, consumer brands, movie collections at box office, stock market, celebrities etc. Opinion mining also called as sentiment analysis offers a fast and broader way of monitoring the public sentiments. In this paper, a study on various perspectives and approaches of Twitter data analysis being carried out in recent years using opinion mining is made by considering the words, retweets, hashtags and emoticons.

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Index Terms

Computer Science
Information Sciences

Keywords

Twitter Opinion Mining sentiment Analysis