Effective methods for improving naive Bayes text classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2417, Issue , 2002, Pages 414-423

  Kim, Sang Bum ^a   Rim, Hae Chang ^a   Yook, Dong Suk ^a   Lim, Heui Seok ^b  

^a Korea University   (South Korea)

^b Chonan University Chonan 330 180   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFIERS; INFORMATION RETRIEVAL SYSTEMS; TEXT PROCESSING;

DOCUMENT LENGTH NORMALIZATION; IMPROVING PERFORMANCE; MULTINOMIAL APPROACH; MULTINOMIAL NAIVE BAYES; MUTUAL INFORMATIONS; NAIVE BAYES TEXT CLASSIFIER; TEXT CLASSIFICATION; WEIGHTED NAIVE BAYES;

CLASSIFICATION (OF INFORMATION);

EID: 84947928349     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45683-x_45     Document Type: Conference Paper

References (8)

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