Ant colony optimization for text feature selection in sentiment analysis-Reference-Cited by-同舟云学术

Ant colony optimization for text feature selection in sentiment analysis

Published:2019-02-20 Issue:1 Volume:23 Page:133-158
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Ahmad Siti Rohaidah¹,Bakar Azuraliza Abu²,Yaakub Mohd Ridzwan²

Affiliation:

1. Department of Computer Science, Faculty of Defence Science and Technology, Universiti Pertahanan Nasional Malaysia, Kuala Lumpur 57000, Malaysia

2. Data Mining and Optimization Research Group, Centre for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi Selangor 46000, Malaysia

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference48 articles.

1. M. Hu and B. Liu, Mining and Summarizing Customer Reviews, Proceedings of the 2004 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining KDD 04. (2004), 168–177. doi: 10.1145/1014052.1014073.

2. M. Hu and B. Liu, Mining Opinion Features in Customer Reviews, in: Proceeding AAAI’04 Proceedings of the 19th National Conference on Artifical Intelligence, AAAI Press, San Jose, California, 2004: pp. 755–760.

3. B. Pang, L. Lee and S. Vaithyanathan, Thumbs up? Sentiment Classification using Machine Learning Techniques, in: Proceedings of the 2002 Conference on Empirical Methods in Natural Language Processing (EMNLP), Association for Computational Linguistics, 2002: pp. 79–86. doi: 103115/1118693.1118704.

4. B. Pang and L. Lee, A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts, in: Proceeding ACL ’04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, Association for Computational Linguistics, 2004.

5. A.-M. Popescu and O. Etzioni, Extracting Product Features and Opinions from Reviews, in: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing HLT 05, Association for Computational Linguistics, 2005: pp. 339–346. doi: 10.3115/1220575.1220618.

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