An Empirical Comparison of Text Categorization Methods
作者： Ana Cardoso-Cachopo , Arlindo L. Oliveira
DOI: 10.1007/978-3-540-39984-1_14
关键词:
摘要: In this paper we present a comprehensive comparison of the performance number text categorization methods in two different data sets. particular, evaluate Vector and Latent Semantic Analysis (LSA) methods, classifier based on Support Machines (SVM) k-Nearest Neighbor variations LSA models.
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