Opinion Analyzer over the Web

Raghu Ram Yadav Gajji, K Ravi Kumar

Abstract


Opinion Analyzer over the Web is a phenomena for calculating opinion strength or attitude related to the discussion undergoing topic. It recognize and drew out related information in source materials, which, in our data held over the World Wide Web. It then  the attitude of the given entity. Such analysis serve the world of internet to exploit better.


References


Namrata Godlobe, Manjunath Srinivasaiah, Steven Skiena, Large Scale Sentiment Analysis for News and Blogs, In: ICWSM, Boulder, Colorado, USA, 2007.

Bo Pang and Lillian Lee, Opinion Mining and Sentiment Analysis, In: Foundations and Trends in information retrieval, Vol.2, 2008.

Mikalai Tsytsarau, Themis Palpanas, Survey on mining subjective data on the web, In: DAMI special issue on 10 years of mining the web, 2011.

Michael O. Rabin and Richard M. Karpthm, Introduction to algorithms, In: MIT Press, pp. 911-916.

Kim, S.M., Hovy, E, Determining the sentiment of Opinions, In: Proceedings of the Coling Conference, 2004.

Lloyd, L., Kechagias, D., Skiena, S.: Lydia, A system for large-scale news analysis, In: String Processing and Information Retrieval, SPIRE 2005.

Miller G.A: WordNet: A lexical database, In: Communications of the ACM , 1995.

Bing Liu, Sentiment Analysis and Opinion Mining, April, 2012.


Full Text: PDF[FULL TEXT]

Refbacks

  • There are currently no refbacks.


Copyright © 2013, All rights reserved.| ijseat.com

Creative Commons License
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.