With the evolution of the Internet and multimedia technology, the amount of text data has
increased exponentially. This text volume is a precious source of information and knowledge …

The size of data on the Internet has risen in an exponential manner over the past decade.
Thus, the need for a solution emerges, that transforms this vast raw information into useful …

Automatic text summarization can be defined as the process of presenting one or more text
documents while maintaining the main information content using an automatic machine with …

The automatic text summarization (ATS) task consists in automatically synthesizing a
document to provide a condensed version of it. Creating a summary requires not only …

The quantity of textual data on the internet is growing exponentially, and it is very tough task
to obtain important and relevant information from it. An efficient and effective method is …

The significance of text summarization in the Natural Language Processing (NLP)
community has now expanded because of the staggering increase in virtual textual …

Unsupervised opinion summarization techniques are designed to condense the review data
and summarize informative and salient opinions in the absence of golden references …

Automatic text summarization (ATS) is a method to condense a long size text document into
abridging form by enveloping all the primary information and central theme. Numerous ATS …

This study proposes a language and domain independent approach for automatic extractive
text summarization (EATS) tasks, which is based on a clustering scheme supported by a …

Preprocessing, term selection, term weighting, sentence weighting, and sentence selection
are the main issues in generating extractive summaries of text sentences. Although many …