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
Publisher:	Association for Computing Machinery
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 Division of Interdisciplinary Sciences > Management Studies
Date Deposited:	19 Mar 2013 09:28
Last Modified:	19 Mar 2013 09:28
URI:	http://eprints.iisc.ac.in/id/eprint/46039

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