Building an Extractive Arabic Text Summarization Using a Hybrid Approach

Nowadays, textual information in numerical format is hugely produced, which requires the development of tools such as Automatic Text Summarization to produce a condensed and relevant representation, thus helping the reader to decide whether the source document contains the information they are looking for or not. The Text Summarization has known these last decades an enormous progress, in particular works of Arabic language. The objective of this paper is to contribute more to these advances by proposing an Arabic text summarization tool (SumSAT), which adopts an extraction approach using hybridization between three techniques which are: Contextual exploration, indicative expression, and the graph method. Experimental results showed that the proposed approach achieved competitive and promising in the optic of generating a small and coherent summary.