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 …

Text summarization is the process of condensing a long text into a shorter version by
maintaining the key information and its meaning. Automatic text summarization can save …

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 …

Nowadays, voluminous unstructured data is steaming on the Web/social media. It is not easy
for individuals to find relevant information quickly from such a vast unstructured corpus. Text …

The primary shortcoming associated with extractive text summarization is redundancy,
where more than one sentence representing a similar type of information are incorporated in …

In recent times, data is growing rapidly in every domain such as news, social media,
banking, education, etc. Due to the excessiveness of data, there is a need of automatic …

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 schemes are indeed helpful for glancing briefly at the text
document. With this motivation, we introduce here a two-stage hybrid model for text …

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 …