An extensive empirical study of feature selection metrics for text classification

Keywords

Computer science, Feature selection, Artificial intelligence, Margin (machine learning), Machine learning

References

• Feature Selection for Unbalanced Class Distribution and Naive BayesDunja Mladenić, Marko Grobelnik — 1999
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• Data Mining: Practical Machine Learning Tools and Techniques - Book ReviewIan H. Witten, Eibe Frank — 2002
• Gene Selection for Cancer Classification using Support Vector MachinesIsabelle Guyon, Jason Weston, S. Barnhill — 2002
• Inductive learning algorithms and representations for text categorizationSusan Dumais, John Platt, David Heckerman — 1998
• Tests of a statistical explanation of the rank-frequency relation for words in written English.George A. Miller, Edwin B. Newman — 1958
• A Comparative Study on Feature Selection in Text CategorizationYiming Yang, Jan Pedersen — 1997

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• What Matters Most? How Tone in Initial Public Offering Filings and Pre-IPO News Influences Stock Market ReturnsStefan Feuerriegel, Jonas Tobias Schmitz, Dirk Neumann — 2014
• Apprentissage automatique pour l'extraction de caractéristiques : application au partitionnement de documents, au résumé automatique et au filtrage collaboratifJean-François Pessiot — 2008
• Text mining and IRT for psychiatric and psychological assessmentQiwei He — 2009
• What do we mean when we talk about ethical cancer care?Michael Coleman Dalvean — 2000
• Context-based Term Disambiguation in Biomedical LiteraturePing Chen, Hisham Al-Mubaid — 2006
• Estimation of Discriminative Feature Subset Using Community ModularityGuodong Zhao, Sanming Liu — 2016
• Regulation of Reentrainment Function Is Dependent on a Certain Minimal Number of Intact Functional ipRGCs in rd MiceM. Ikonomakis, Sotiris Kotsiantis, V. Tampakas — 2017
• A framework for feature selection in high-dimensional domainsLaura Maria Cannas — 2013
• Advances in Machine Learning Based Text CategorizationJinshu Su — 2006
• Machine Learning for Natural Language ProcessingMartin Emms — 2011
• Text Categorization and Sorting of Web Search ResultsMiloš Radovanović, Mirjana Ivanović, Zoran Budimac — 2009
• Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness ProbabilisticallyYuan Fang, Kevin C. Chang, Hady W. Lauw — 2014
• Using Closed Captions and Visual Features to Classify Movies by GenreDarin Brezeale, Diane J. Cook — 2006
• Feature Selection for the Classification of Large Document CollectionsJanez Brank, Dunja Mladenić, Marko Grobelnik — 2008
• Learning from communication data: language in electronic business negotiationsMarina Sokolova — 2006
• Identification of disease related significant SNPsCeyda Sol — 2010
• KACST Arabic Text Classification Project: Overview and Preliminary ResultsAbdulmohsen Al-Thubaity, Abdulrahman Almuhareb, Sara T. Alharbi — 2008
• Discriminative learning and spanning tree algorithms for dependency parsingFernando Pereira, Ryan McDonald — 2006
• A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality AssessmentAhmad Ruzita — 2013
• Comparison of Protocols in MANET for Efficiency Evaluation of Mobility Models (Random Way Model)Arjun Choudhary, Amit Chaturvedi — 2014

Related papers

• A Comparative Study on Feature Selection in Text CategorizationYiming Yang, Jan Pedersen — 1997
• Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancyHanchuan Peng, Fuhui Long, Chen Ding — 2003
• LIBSVM: A library for support vector machinesChih-Chung Chang, Chih‐Jen Lin — 2011
• Gene Selection for Cancer Classification using Support Vector MachinesIsabelle Guyon, Jason Weston, S. Barnhill — 2002
• The WEKA data mining software: an updateMark Hall, Eibe Frank, Geoffrey Holmes — 2009
• Support-Vector NetworksCorinna Cortes, Vladimir Vapnik — 1995
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• A review of feature selection techniques in bioinformaticsYvan Saeys, Iñaki Inza, Pedro Larrañaga — 2007
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