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A non-syntactic approach for text sentiment classification with stopwords

Venkatasubramanian, Suresh and Veilumuthu, Ashok and Krishnamurthy, Avanthi and Veni Madhavan, CE and Nath, Kaushik and Arvindam, Sunil (2011) A non-syntactic approach for text sentiment classification with stopwords. In: WWW '11 Proceedings of the 20th International Conference Companion on World Wide Web, 2011, New York, NY, USA.

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Abstract

The present approach uses stopwords and the gaps that oc- cur between successive stopwords –formed by contentwords– as features for sentiment classification.

Item Type: Conference Paper
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Additional Information: Copyright of this article belongs to Association for Computing Machinery.
Keywords: Text and Language Applications;Sentiment Mining;Stop-Words;Topic Models;Latent Dirichlet Allocation
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Division of Information Sciences > Management Studies
Date Deposited: 19 Mar 2013 09:28
Last Modified: 19 Mar 2013 09:28
URI: http://eprints.library.iisc.ernet.in/id/eprint/46039

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