Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
: This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...
This paper deals about text extraction from heterogeneous documents for categorizing documents and indexing tasks. The purpose of this work is to find similar text regions basing ...
Badreddine Khelifi, Nizar Zaghden, Adel M. Alimi, ...
— In vector space model (VSM), textual documents are represented as vectors in the term space. Therefore, there are two issues in this representation, i.e. (1) what should a term...
The use of the computing with words paradigm for the automatic text documents categorization problem is discussed. This specific problem of information retrieval (IR) becomes more...