AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages-Reference-Cited by-同舟云学术

AMRITA-CEN@SAIL2015: Sentiment Analysis in Indian Languages

Published:2015 Issue: Volume: Page:703-710
ISSN:0302-9743
Container-title:Mining Intelligence and Knowledge Exploration
language:
Short-container-title:

Author:

Se Shriya,Vinayakumar R.,Anand Kumar M.,Soman K. P.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-26832-3_67

Reference19 articles.

1. Fink, C.R., et al.: Coarse- and fine-grained sentiment analysis of social media text. Johns Hopkins APL Tech. Dig. 30(1), 22–30 (2011)

2. Balahur, A.: Sentiment analysis in social media texts. In: 4th Workshop on Computational Approaches (2013)

3. Hutto, C.J., Gilbertl, E.: Vader: a parsimonious rule-based model for sentiment analysis of social media text. In: Eighth International AAAI Conference on Weblogs and Social Media (2014)

4. Arunselvan, S.J., Anand kumar, M., et al.: Sentiment analysis of tamil moovie reviews via feature frequency count. IJAER 10, 17934–17939 (2015)

5. Jansen, B.J., et al.: Twitter power: tweets as electronic word of mouth. J. Am. Soc. Inf. Sci. Technol. 60(11), 2169–2188 (2009)

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