Graph Based Representation for Arabic Text Categorization
Meryeme Hadni, Mounir Gouiouez · 2017
With the huge textual information available online, the need for a computer system to processing and analyzing this information are felt. One of the systems that exist in analyzing and processing of text is a text categorization in which large volume of text is grouping into categories based on their contents. In this paper, we introduce a novel graph-based approach using BabelNet knowledge resource for Arabic text categorization. Contrary to the traditional Bag-of-Words model for document representation, we consider a model in which each document is represented by a graph that encodes relationships between the different named entities. The experimental results reveal that graph-based representation using SVM algorithm outperforms the NB with regards to all measures.