Application of Rough Set-Based Feature Selection for Arabic Sentiment Analysis-Reference-Cited by-同舟云学术

Application of Rough Set-Based Feature Selection for Arabic Sentiment Analysis

Published:2017-06-03 Issue:4 Volume:9 Page:436-445
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Al-Radaideh Qasem A.,Al-Qudah Ghufran Y.

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

http://link.springer.com/article/10.1007/s12559-017-9477-1/fulltext.html

Reference43 articles.

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3. Wang J, Dong A. A comparison of two text representations for sentiment analysis. In Computer Application and System Modeling (ICCASM), 2010 International Conference on IEEE, 2010;(11): 11–35.

4. Varela P L, Martins A F, Aguiar P M, Figueiredo, M A. An Empirical Study of Feature Selection for Sentiment Analysis. Figueiredo Conference on Telecommunications, Castelo Branco, Portugal. 2013.

5. Jianping F, Zhenzhong K, Baopeng Z, Jun Y, Dan L. iPrivacy: image privacy protection by identifying sensitive objects via deep multi-task learning. IEEE Transactions on Information Forensics and Security. 2016;12(5):1005–16.

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