Natural language processing (NLP) has recently gained much attention for representing and
analyzing human language computationally. It has spread its applications in various fields …

Text summarization is the process of automatically creating a shorter version of one or more
text documents. It is an important way of finding relevant information in large text libraries or …

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 …

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 considerable volume of online reviews for today's hotels are is difficult for review
readers to manually process. Automatic review summarizations are a promising direction for …

Abstract Automatic Text Summarization (ATS) is an essential field in natural language
processing that attempts to condense large text documents so that users can assimilate …

In this paper, we propose SummCoder, a novel methodology for generic extractive text
summarization of single documents. The approach generates a summary according to three …

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

We propose a novel methodology for extractive, generic summarization of text documents.
The Maximum Independent Set, which has not been used previously in any summarization …

We propose a framework for abstractive summarization of multi-documents, which aims to
select contents of summary not from the source document sentences but from the semantic …