Nowadays we see huge amount of information is available on both, online and offline
sources. For single topic we see hundreds of articles are available, containing vast amount …

The exponential growth of online textual data triggered the crucial need for an effective and
powerful tool that automatically provides the desired content in a summarized form while …

The increasing usage of the Internet and social networks has produced a significant amount
of online textual data. These online textual data led to information overload and redundancy …

Arabic is one of the most semantically and syntactically complex languages in the world. A
key challenging issue in text mining is text summarization, so we propose an unsupervised …

The quantity of textual data is increasing in online realm with the blink of eye and it has
become very difficult to extract useful information from such enormous bundle of information …

The daily massive flow of information requires automated summarization methods to extract
the most important information. Manual summarization of large text documents is very …

Along with the increasing number of scientific publications, many scientific communities
must read the entire text to get the essence of information from a journal article. This will be …

With the huge amount of Arabic digital data, a summarization system is very helpful to
quickly retrieve useful information and save a lot of time and efforts. Two main techniques …

This paper investigates the effectiveness of using multi-morphological analysis for improving
the performance of graph-based approach for extractive Arabic text summarization (ATS) …

Text summarization is the task of condensing the input text documents into a shorter version
by retaining the overall meaning and information of the original document. Though plenty of …