In recent years, the volume of textual data has rapidly increased, which has generated a
valuable resource for extracting and analysing information. To retrieve useful knowledge …

This article is a utilization research that really needs literacy and reading materials in
describing a discussion, which is through knowledge of the background of an incident, and …

Recently, the number of online documents witness huge increase in volume. Thus, these
documents need to be summarized in order to be effective. This paper reviews the most …

The aim of this paper is to present an automatic plagiarism detection system to identify
plagiarized passages of documents. Our plagiarism detection system uses both syntactic …

In this paper, an abstractive Arabic text summarization model that is based on sequence-to-
sequence recurrent neural networks is proposed. It consists of a multilayer encoder and …

Advances in communication technologies have enabled peoples to deliver more. Due to this
phenomenon, an increasing amount of data are easily disseminated and published on the …

As much as internet and smart devices are taking a big role in the lives of children and
adolescents, also the threat of Cyberbullying on the lives and wellbeing of those youngsters …

Plagiarism detection (PD) in natural language processing involves locating similar words in
two distinct sources. The paper introduces a new approach to plagiarism detection utilizing …

The ease of access to the various resources on the web enabled the democratization of
access to information but at the same time allowed the appearance of enormous plagiarism …

Twitter is one of the social media platforms that is extensively used to share public opinions.
Arabic text detection system (ATDS) is a challenging computational task in the field of …