Integrating Compound Terms in Bayesian Text Classification

Text classification usually assumed a word-based document representation. In this paper, we propose a new approach to integrate compound terms in Bayesian text classification. Compound terms are used as complementary features to single words. An acute problem is to consider their dependence with the...

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Veröffentlicht in:	IEEE/WIC/ACM International Conference on web intelligence S. 598 - 601
Hauptverfasser:	Bai, Jing, Nie, Jian-Yun, Cao, Guihong
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	Washington, DC, USA IEEE Computer Society 19.09.2005 IEEE
Schriftenreihe:	ACM Conferences
Schlagworte:	Applied computing > Document management and text processing Bayesian methods Computing methodologies > Artificial intelligence > Natural language processing Computing methodologies > Artificial intelligence > Natural language processing > Language resources Computing methodologies > Machine learning > Learning paradigms > Supervised learning > Supervised learning by classification Computing methodologies > Machine learning > Machine learning approaches > Classification and regression trees Information retrieval Mathematics of computing > Mathematical analysis > Numerical analysis > Interpolation Niobium Smoothing methods Support vector machine classification Support vector machines Testing Text categorization Text recognition Tree data structures
ISBN:	076952415X, 9780769524153
Online-Zugang:	Volltext
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