Prominent feature extraction for review analysis: an empirical study-Reference-Cited by-同舟云学术

Prominent feature extraction for review analysis: an empirical study

Published:2014-11-26 Issue:3 Volume:28 Page:485-498
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Agarwal Basant,Mittal Namita

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

http://www.tandfonline.com/doi/pdf/10.1080/0952813X.2014.977830

Reference29 articles.

1. Agarwal, B. & Mittal, N. (2012). Categorical probability proportion difference (CPPD): A feature selection method for sentiment classification. In Proceedings of the 2nd workshop on sentiment analysis where AI meets psychology, COLING (pp. 17–26). IIT Bombay, Mumbai: ACL (Association of Computational Linguistics).

2. Optimal Feature Selection for Sentiment Analysis

3. Semantic Feature Clustering for Sentiment Analysis of English Reviews

4. Enhancing Sentiment Classification Performance Using Bi-Tagged Phrases

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