Using redundancy reduction in summarization to improve text classification by SVMs

Using redundancy reduction in summarization to improve text classification by SVMs

Journal of Information Science and Engineering

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Bibliographic Details
Main Authors: Zhan, J., Loh, H.-T.
Other Authors: MECHANICAL ENGINEERING
Format: Conference or Workshop Item
Published: 2014
Subjects:
Text classification
Text mining
Text summarization support vector machines maximal marginal relevance
Online Access:http://scholarbank.nus.edu.sg/handle/10635/73996
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Institution: National University of Singapore

Internet

http://scholarbank.nus.edu.sg/handle/10635/73996

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