Study of Relation between the Proportion of opinionated Tweets and Retweets

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-40 Number-3
Year of Publication : 2016
Authors : K.Sunitha, K. Syama Sundara Rao
  10.14445/22312803/IJCTT-V40P123

MLA

K.Sunitha, K. Syama Sundara Rao "Study of Relation between the Proportion of opinionated Tweets and Retweets". International Journal of Computer Trends and Technology (IJCTT) V40(3):119-122, October 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Face book and Twitter websites are not just platforms to maintain relationships. They can also be more robust information sources. But, The people are known little about socially generated content. In this project we discover behaviour of relevant item searching on the popular blogging sites like facebook and twitter. By analyzing various sources available in twitter to find relevant information and information related to people and their interests and their opinions. Moreover Twitter and Facebook queries are very short and more popular less likely to progress as part of gathering than Web Queries. More apparently people treat Twitter queries to monitor the search results while changing and developing queries to learn a relevant topic. In our paper We used Latent Dirichlet Allocation technique to compare various documents available in twitter as well as New Work Time News to find the relevant and by presumptuous this generative model for a large documents as well as tweets, LDA then tries to backtrack from the documents to find a set of topics that are likely to have generated the collection and also In this paper we study the relation among the quantities of prejudiced tweets and topic categories and its types.

Reference -
[1] Hong, L., Davison, B.D.2010 Empirical study of topic modeling in Twitter. In: Proceedings of the SIGKDD Workshop on SMA
[2] Sakaki, T., Okazaki, M., Matsuo, Y. 2010. Earthquake shakes Twitter users: real-time event detection by social sensors. In: Proceedings of the 19th WWW (2010)
[3] Blei, D.M., Ng, A.Y., Jordan, M.I.2003. Latent Dirichlet allocation. JMLR (2003)
[4] [Kwak, H., Lee, C., Park, H., Moon, S. 2010. What is Twitter, a social network or a news media? In: Proceedings of the 19th WWW (2010)
[5] Asur, S., Huberman, B.A. 2010. Predicting the future with social media. WI-IAT (2010)
[6] Petrović, S., Osborne, M., Lavrenko, V. 2010. The Edinburgh Twitter corpus. In: Proceedings of the NAACL HLT 2010 Workshop (2010)
[7] Weng, J., Lim, E.P., Jiang, J., He, Q. 2010. TwitterRank: finding topic-sensitive influential twitterers. In: Proceedings of the Third ACM WSDM (2010)
[8] Steyvers, M., Smyth, P., Rosen-Zvi, M., Griffiths, T. 2004. Probabilistic author-topic models for information discovery. In: SIGKDD (2004)
[9] Ramage, D., Dumais, S., Liebling, D. 2010. Characterizing micorblogs with topic models. In: Proceedings of AAAI on Weblogs and Social Media (2010)
[10] Titov, I., McDonald, R. 2008. Modeling online reviews with multi-grain topic models. In: Proceeding of the 17th WWW (2008)
[11] Li, P., Jiang, J., Wang, Y. 2010. Generating templates of entity summaries with an entity- aspect model and pattern mining. In: Proceedings of the 48th ACL (2010)
[12] Zhai, C., Velivelli, A., Yu, B. 2004. A cross-collection mixture model for comparative text mining. In: Proceedings of the Tenth ACM SIGKDD (2004)
[13] Paul, M., Girju, R. 2009. Cross-cultural analysis of blogs and forums with mixed-collection topic models. In: Proceedings of the 2009 EMNLP (2009)
[14] Leskovec, J., Backstrom, L., Kleinberg, J. 2009. Memetracking and the dynamics of the news cycle. In: Proceedings of the 15th ACM SIGKDD (2009)
[15] Teevan, J., Ramage, D., Morris, M. 2011. #Twittersearch: A comparison of microblog search and web search. In: Proceedings of the Fourth ACM WSDM (2011)

Keywords
Tweets, Testing, Training, Microblogging, LDA.