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 …

With the tremendous growth in the number of electronic documents, it is becoming
challenging to manage the volume of information. Much research has focused on …

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 …

Nowadays abundant amount of information is available on Internet which makes it difficult
for the users to locate desired information. Automatic methods are needed to efficiently sieve …

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 …

This paper proposes an optimization-based model for generic document summarization.
The model generates a summary by extracting salient sentences from documents. This …

The explosive growth of textual data on the web and the problem of obtaining desired
information through this enormous volume of data has led to a dramatic increase in demand …

In today's scenario the rate of growth of information is expanding exponentially in the World
Wide Web. As a result, extracting valid and useful information from a huge data has become …

Abstract Today, World Wide Web has brought us enormous quantity of on-line information.
As a result, extracting relevant information from massive data has become a challenging …