a quick survey of text categorization algorithms

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ID: 166624
2007
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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).
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munteanu2007analelea Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Dan MUNTEANU
Journal journal of luminescence
Year 2007
DOI
DOI not found
URL
http://www.ann.ugal.ro/eeai/archives/2007/Lucrare-06-Munteanu.pdf
Keywords
Machine learning algorithms information retrieval computer science electronics text classificationelectrical engineering

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