Feature selection for text classification: A review-Reference-Cited by-同舟云学术

Feature selection for text classification: A review

Published:2018-05-08 Issue:3 Volume:78 Page:3797-3816
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Deng Xuelian,Li Yuqing,Weng Jian,Zhang Jilian^ORCID

Funder

National Natural Science Foundation of China

National Key R&D Plan of China

Guangdong Provincial Engineering Technology Research Center on Network Security Detection and Defense

Guangdong Provincial Special Funds for Applied Technology Research and Development and Transformation of Important Scientific and Technological Achieve

Zhuhai Top Discipline-Information Security

Guangzhou Key Laboratory of Data Security and Privacy Preserving

Guangdong Key Laboratory of Data Security and Privacy Preserving

National Joint Engineering Research Center of Network Security Detection and Protection Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-018-6083-5/fulltext.html

Reference123 articles.

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3. Aslam JAMF (2003) An information-theoretic measure for document similarity. In: Proceedings of ACM SIGIR, pp 449–450

4. Baccianella S, Esuli A, Sebastiani F (2014) Feature selection for ordinal text classification. Neural Comput 26(3):557–591

5. Baecchi C, Uricchio T, Bertini M, Del Bimbo A (2016) A multimodal feature learning approach for sentiment analysis of social network multimedia. Multimed Tool Appl 75(5):2507–2525

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