Classification of documents by content
Simon Jaillet, Maguelonne Teisseire, Jacques Chauché, Violaine Prince · 2004
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.