A non-syntactic approach for text sentiment classification with stopwords


Autoria(s): Venkatasubramanian, Suresh; Veilumuthu, Ashok; Krishnamurthy, Avanthi; Veni Madhavan, CE; Nath, Kaushik; Arvindam, Sunil
Data(s)

2011

Resumo

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

Formato

application/pdf

Identificador

http://eprints.iisc.ernet.in/46039/1/Wor_Wide_Web_137_2011.pdf

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.

Publicador

Association for Computing Machinery

Relação

http://dx.doi.org/10.1145/1963192.1963262

http://eprints.iisc.ernet.in/46039/

Palavras-Chave #Computer Science & Automation (Formerly, School of Automation) #Management Studies
Tipo

Conference Paper

PeerReviewed