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 sematical 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.
Citation:
Simon Jaillet, Maguelonne Teisseire, Jacques Chauche, Violaine Prince, "Classification of Documents by Content," icci, pp.214, Second IEEE International Conference on Cognitive Informatics (ICCI'03), 2003