DocumentCode
1965413
Title
Classification of documents by content
Author
Jaillet, Simon ; Teisseire, Maguelonne ; Chauche, Jacquws ; Prince, Violaine
Author_Institution
LIRMM, Montpellier, France
fYear
2003
fDate
18-20 Aug. 2003
Firstpage
214
Lastpage
222
Abstract
This paper deals with automated text categorization (or classification) into predefined categories. We present a concept-based approach where texts are considered in a more semantical way than classical vector of terms. An agreeing measure is also defined in order to improve the categorization process. Experimental results show the benefit obtained with our proposal.
Keywords
classification; computational linguistics; text analysis; automated text categorization; categorization process; classical vector; concept-based approach; digital documents; document classification; document content; predefined categories; semantical way; Cognitive informatics;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on
Print_ISBN
0-7695-1986-5
Type
conf
DOI
10.1109/COGINF.2003.1225983
Filename
1225983
Link To Document