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Survey: Twitter data Analysis using Opinion Mining
| 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
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.
References
- Malhar Anjaria and Ram Mohana Reddy Guddeti, “ Influence Factor based opinion mining of Twitter data using supervised learning” sixth IEEE conference on COMSNETS, 6-10 Jan 2014, Bangalore, India.
- Ana c E S Lima and Leandro N de Castro, “ Automatic sentiment Analysis of Twitter messages”, fourth IEEE conference on CASoN, 21-23 Nov 2012, Sao Carlos.
- Dimitrios Kotsakos, Panos Sakkos, ioannis Katakis, Dimitrios Guanopulos, “#tag: Meme or Event?” IEEE/ACM conference on ASONAM, 17-20 Aug 2014, Beijing, China.
- Mahnaz Roshanaei and Shivakant Mishra, “An Analysis of positivity and Negativity attributes of users on Twitter “, IEEE/ACM conference on ASONAM, 17-20 Aug 2014, Beijing, China.
- Tuan Anh Hoang, William w Cohen, Ee-Peng Lim, Dovy Pierce, David R Redlawsk, “Politics, Sharing and emotion in Microblogs”, IEEE/ACM conference on ASONAM, 2013, New York, USA.
- John P Dickerson, vadim Kagan, V S Subrahmanian, “Using sentiment to detect Bots on Twitter: Are Humans more opinionated than Bots? “, IEEE/ACM conference on ASONAM, 17-20 Aug 2014, Beijing, China.
- Alexander Pak and Patrick Paroubek. "Twitter as a corpus for sentiment analysis and opinion mining", Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC' 10), may 2010.
- https://en.wikipedia.org/wiki/Twitter
- http://www.thecloudavenue.com/2013/03/analyse-
- Tweets-using-flume-hadoop-and.htmlhttp://blog.cloudera.com/blog/2012/09/analyzing-
- Twitter-data-with-hadoop/
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