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Some effective techniques for naive bayes text classification

Autor
KIM, Sang-Bum1 ; HAN, Kyoung-Soo1 ; RIM, Hae-Chang1 ; SUNG HYON MYAENG2
[1] Department of Computer Science and Engineering, College of Information and Communications, Korea University, Anam-dong 1-ka, Sungpuk-gu, Seoul, 136-701, Korea, Republic of
[2] Information and Communications University, F637, 119 Munji-ro, Yuseong-gu, Daejeon, 305-732, Korea, Republic of
Fuente

IEEE transactions on knowledge and data engineering. 2006, Vol 18, Num 11, pp 1457-1466, 10 p ; ref : 19 ref

ISSN
1041-4347
Campo Científico
Control theory, operational research; Computer science; Psychology, psychopathology, psychiatry
Editor
IEEE Computer Society, New York, NY
País de la publicación
United States
Tipo de documento
Article
Idioma
English
Palabra clave de autor
Poisson model Text classification feature weighting naive Bayes classifier
Palabra clave (fr)
Analyse contenu Analyse donnée Classification automatique Extraction information Fouille donnée Langage naturel Recherche information Texte Classificateur Bayes naïf Classification texte Modèle Poisson
Palabra clave (in)
Content analysis Data analysis Automatic classification Information extraction Data mining Natural language Information retrieval Text
Palabra clave (es)
Análisis contenido Análisis datos Clasificación automática Extracción información Busca dato Lenguaje natural Búsqueda información Texto
Clasificación
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C04 Speech and sound recognition and synthesis. Linguistics

Disciplina
Computer science : theoretical automation and systems
Procedencia
Inist-CNRS
Base de datos
PASCAL
Identificador INIST
18179835

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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