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Text classification from unlabeled documents with bootstrapping and feature projection techniques

Author
KO, Youngjoong1 ; SEO, Jungyun2
[1] Department of Computer Engineering Dong-A University, 840 Hadan 2-dong, Saha-gu, Busan 604-714, Korea, Republic of
[2] Department of Computer Science and Program of Integrated Biotechnology, Sogang University, Sinsu-dong 1, Mapo-gu, Seoul 121-742, Korea, Republic of
Source

Information processing & management. 2009, Vol 45, Num 1, pp 70-83, 14 p ; ref : 3/4 p

CODEN
IPMADK
ISSN
0306-4573
Scientific domain
Information and communication sciences; Documentation; Computer science
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Bootstrapping Feature projection Text classification Text classifier Unlabeled data
Keyword (fr)
Apprentissage automatique Bootstrap Classification automatique Evaluation Texte
Keyword (en)
Machine learning Bootstrap Automatic classification Evaluation Text
Keyword (es)
Bootstrap Clasificación automática Evaluación Texto
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A01 Information science. Documentation / 001A01E Information processing and retrieval / 001A01E02 Information and document structure and analysis / 001A01E02C Content analysis / 001A01E02C1 Indexing. Classification. Abstracting. Syntheses

Francis
790 Information and communication sciences / 790-F Information processing and retrieval / 790-F02 Information and document structure and analysis / 790-F02C Content analysis / 790-F02C01 Indexing. Classification. Abstracting

Discipline
Sciences of information and communication
Origin
Inist-CNRS
Database
FRANCIS ; PASCAL
INIST identifier
20980100

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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