A quick survey of text categorization algorithms

  • Dan Munteanu “Dunarea de Jos” University of Galati
Keywords: information retrieval, algorithms, machine learning, text classification

Abstract

This paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision rules, on-line learning, linear classifier, Rocchio’s algorithm, k Nearest Neighbor (kNN), Support Vector Machines (SVM).

Published
2007-11-29
How to Cite
1.
Munteanu D. A quick survey of text categorization algorithms. The Annals of “Dunarea de Jos“ University of Galati. Fascicle III, Electrotechnics, Electronics, Automatic Control, Informatics [Internet]. 29Nov.2007 [cited 17May2024];30:35-2. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/eeaci/article/view/669
Issue
Vol 30 (2007)
Section
Articles

@ "Dunarea de Jos" University of Galati

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