A discriminative and semantic feature selection method for text categorization-Reference-Cited by-同舟云学术

A discriminative and semantic feature selection method for text categorization

Published:2015-07 Issue: Volume:165 Page:215-222
ISSN:0925-5273
Container-title:International Journal of Production Economics
language:en
Short-container-title:International Journal of Production Economics

Author:

Zong Wei,Wu Feng,Chu Lap-Keung,Sculli Domenic

Funder

National Natural Science Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Economics and Econometrics,General Business, Management and Accounting

Reference23 articles.

1. Text feature selection using ant colony optimization;Aghdam;Expert Syst. Appl.,2009

2. Document-centered information systems to support reactive problem-solving in manufacturing;Balakrishnan;Int. J. Prod. Econ.,1995

3. A survey of automatic query expansion in information retrieval;Carpineto;ACM Comput. Surv.,2012

4. Using least squares support vector machines for the airframe structures manufacturing cost estimation;Deng;Int. J. Prod. Econ.,2011

5. Concept-based information retrieval using explicit semantic analysis;Egozi;ACM Trans. Inf. Syst.,2011

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey of Semantic Parsing Techniques;Symmetry;2024-09-12

2. Feature selection based on long short term memory for text classification;Multimedia Tools and Applications;2023-10-18

3. Comparison of feature selection methods in Kurdish text classification;Iran Journal of Computer Science;2023-08-29

4. A novel feature ranking algorithm for text classification: Brilliant probabilistic feature selector (BPFS);Computational Intelligence;2023-08-18

5. Ensemble feature selection for single-label text classification: a comprehensive analytical study;Neural Computing and Applications;2023-06-22