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Social Network and Sentiment Analysis on Twitter
Abstract
The growth of web technology produces huge volumes of data in the web. Internet provides a platform for sharing opinions & sharing ideas. Social networking sites are rapidly gaining popularity as they allow people to discuss with different communities and post messages across the world. Twitter is the most widely used site where people can share their reviews in the form of tweets. It provides richer content of sentiment and opinions of popular topics. Opinions are categorized into positive, negative or neutral. It is very useful where the company wants the feedback about their product. This paper focuses different information analysis techniques, ranking & classifying tweeter user, fuzzy logic based sentiment classification and analysis of sentiment.
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References
Geetanjali S. Potdar1, Prof R. N. Phursule2, A Survey Paper on Twitter Opinion Mining, International Journal of Science and Research (IJSR) Volume 4 Issue 1, January 2015.
Wu, S., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011). Who says what to whom on twitter. Proceedings of the 20th International Conference on World Wide Web. ACM New York, NY, USA.
Bastos, M. T., Travitzki, R., & Puschmann, C. (2012). What sticks with whom? Twitter follower- followee networks and news classification. Proceedings of 6th International AAAI Conference on Weblogs and Social Media—Workshop on the Potential of Social Media Tools and Data for Journalists in the News Media Industry.
Natural language processing. From https://en.wikipedia.org/wiki/Natural_language_processing
Akshi Kumar and Teeja Mary Sebastian, “Sentiment Analysis on Twitter”, IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No 3, July 2012, pp. 372-378.
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