In recent years, there has been a explosion in the amount of text data from a variety of
sources. This volume of text is an invaluable source of information and knowledge which …

Big data is the concept of enormous amounts of data being generated daily in different fields
due to the increased use of technology and internet sources. Despite the various …

As information is available in abundance for every topic on internet, condensing the
important information in the form of summary would benefit a number of users. Hence, there …

Automatic text summarization attempts to provide an effective solution to today's
unprecedented growth of textual data. This paper proposes an innovative graph-based text …

The performance of differential evolution (DE) algorithm is significantly affected by its
parameters setting that are highly problem dependent. In this paper, an optimal discrete …

Text summarization is a process of extracting salient information from a source text and
presenting that information to the user in a condensed form while preserving its main …

Automatic text summarization methods are increasingly needed nowadays. Extractive multi-
document summarization approaches aim to obtain the main content of a document …

Text summarization is a process of generating a brief version of documents by preserving
the fundamental information of documents as much as possible. Although most of the text …

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 …

In this paper, we propose a novel extraction based method for multi-document
summarization that covers three important features of a good summary: coverage, non …