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Volumn , Issue , 2009, Pages 230-235

LDA-based keyword selection in text categorization

Author keywords

Document categorization; Feature selection; Latent dirichlet allocation

Indexed keywords

DOCUMENT CATEGORIZATION; DOCUMENT FREQUENCY; FEATURE SELECTION; GRAPHICAL MODEL; HIGH-DIMENSIONAL; INDUCTION ALGORITHMS; INFORMATION GAIN; KEYWORD SELECTION; LATENT DIRICHLET ALLOCATION; LATENT DIRICHLET ALLOCATIONS; TEXT CATEGORIZATION; TEXT CATEGORIZATION SYSTEMS; TEXT DOCUMENT; TEXTUAL DATA; THRESHOLDING; TOPIC ANALYSIS; TOPIC STRUCTURES;

EID: 73949131655     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCIS.2009.5291818     Document Type: Conference Paper
Times cited : (32)

References (17)
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  • 2
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  • 8
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    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
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  • 9
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  • 11
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    • Classification of Skewed and Homogeneous Document Corpora with Class-Based and Corpus-Based Keywords
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    • A. Özgür, T. Güngör. Classification of Skewed and Homogeneous Document Corpora with Class-Based and Corpus-Based Keywords, Lecture Notes in Artificial Intelligence, Vol.4314, 2007, p.91-101, Springer-Verlag, Berlin Heidelberg.
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  • 12
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    • Machine learning in automated text categorization
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  • 16
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    • An Efficient Feature Selection Using Hidden Topic in Text Categorization
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.