Supervised two-step feature extraction for structured representation of text data-Reference-Cited by-同舟云学术

Supervised two-step feature extraction for structured representation of text data

Published:2013-04 Issue: Volume:33 Page:132-143
ISSN:1569-190X
Container-title:Simulation Modelling Practice and Theory
language:en
Short-container-title:Simulation Modelling Practice and Theory

Author:

Háva Ondřej,Skrbek Miroslav,Kordík Pavel

Publisher

Elsevier BV

Subject

Hardware and Architecture,Modeling and Simulation,Software

Reference14 articles.

1. Speech and Language Processing;Jurafsky,2000

2. Latent Dirichlet allocation;Blei;Journal of Machine Learning Research,2003

3. Term weighting approaches in automatic text retrieval;Salton;Information Processing and Management,1988

4. A. Marin, Comparison of Automatic Classifiers’ Performances using Word-based Feature Extraction Techniques in an E-Government Setting, Kungliga Tekniska Högskolan, 2011.

5. Dimension reduction;Cunningham;Machine Learning Techniques for Multimedia, Cognitive Technologies, Part I,2008

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