Use of Clustering Sentiments for Opinion Mining: An Experimental Analysis-Reference-Cited by-同舟云学术

Use of Clustering Sentiments for Opinion Mining: An Experimental Analysis

Published:2019-06-26 Issue: Volume: Page:625-632
ISSN:2194-5357
Container-title:Information and Communication Technology for Sustainable Development
language:
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Author:

Veeraiah D.,Nageswara Rao J.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-7166-0_62

Reference5 articles.

1. Fan, W., Gordon, M.D.: Unveiling the power of social media analytics, University of Michigan, Ann Arbor, Forthcoming at Communications of the ACM

2. Joshi, N.S., Itkat, S.A.: A survey on feature level sentiment analysis, Int. J. Comput. Sci. Inf. Technol. (IJCSIT), 5(4), 5422–5425 (2014)

3. Maynard, D., Bontcheva, K., Rout, D.: Challenges in developing opinion mining tools for social media. In: Proceedings of @NLP can u tag#usergeneratedcontent?! Workshop at LREC 2012, Istanbul, Turkey (May 2012)

4. Bhatia, M.P.S., Khurana, D.: Experimental study of data clustering using k-means and modified algorithms. IJDKP, vol. 3, No. 3, (May 2013)

5. http://www.oxfamblogs.org/fp2p/wp-content/uploads/Anglo-vs-EU.jpg

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