Abstract Automatic Text Summarization (ATS) is becoming much more important because of
the huge amount of textual content that grows exponentially on the Internet and the various …

The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

Document summarization is one such task of the natural language processing which deals
with the long textual data to make its concise and fluent summaries that contains all of …

Text document analysis has recently emerged as a promising strategy in content
summarization domain. The analysis can be carried out in two stages: Text abstraction, the …

Text summarization presents several challenges such as considering semantic relationships
among words, dealing with redundancy and information diversity issues. Seeking to …

Many researches have been converging on automatic text summarization as increasing of
text documents due to the expansion of information diffusion constantly. The objective of this …

Text summarization produces a summary of a document by highlighting its most important
content ideas. Researchers have been developing text summarization techniques since the …

As there is an increase in the usage of digital applications, the availability of data generated
has increased to a tremendous scale. Data is an important component in almost every …

Text summarization has gained tremendous popularity in the research field over the last few
years. Automatic Text summarization attempts to automate the summarization task, which …

Automatic text summarization is an essential tool to overcome the problem of information
overload. So far this field has not been studied enough for Arabic language and currently …