A Quick Survey of Text Categorization Algorithms

dc.contributor.author	Munteanu, Dan
dc.date.accessioned	2016-01-18T13:52:44Z
dc.date.available	2016-01-18T13:52:44Z
dc.date.issued	2007
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3886
dc.description	The Annals of 'Dunarea de Jos" University of Galati	en_US
dc.description.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).	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University of Galati	en_US
dc.subject	information retrieval	en_US
dc.subject	machine learning	en_US
dc.subject	text classification	en_US
dc.title	A Quick Survey of Text Categorization Algorithms	en_US
dc.type	Article	en_US