Nadeen M ABDELALEEM1, Hatem M ABDAL KADER2, Rashed K SALEM3 and Diaa SALAMA ABD ELMINAAM3,4
1Higher Technological Institute,10th of Ramadan City, Egypt
2Faculty of Computers And Informatics, Menufyia University, Egypt
3 Misr International University, Faculty of Computers and Informatics, Cairo, Egypt
4 Benha University, Faculty of Computers and Artificial Intelligence, Benha, Egypt
Volume 2020 (7),
Article ID 36164720,
AI, Data Mining and Data-Driven Solutions in Different Fields: 36AI 2020
Abstract
Lately, with the availability of huge amounts of data over the internet, it becomes difficult and necessary need to get information vastly and accurately in order to extract the related information . we need a good mechanism automatic text summarization becomes a useful technique for generating the summary from single or multiple documents related to the users query the operation of text summarization is condensing the original text into a shorter form this paper focus on extractive text summarization for summarizing text using neural networks which is trained on a set of features extracted from sentences that should be included in the summary of the text.
Keywords: Automatic text summarization – extractive text summarization- Features-neural network.