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 …

In the Legal AI field, the summarization of legal documents is very challenging. Since the
Indian case documents are much noisier and poorly organized, the summarization of legal …

In the face of uncontrolled offensive content on social media, automated detection emerges
as a critical need. This paper tackles this challenge by proposing a novel approach for …

Online education has become an effective way to deliver quality education to students. They
have become more popular because of their high graphical and pictorial content, delivered …

Automatic extractive text summarization retrieves a subset of data that represents most
notable sentences in the entire document. In the era of digital explosion, which is mostly …

Automatic text summarization (ATS) extracts information from a source text and presents it to
the user in a condensed form while preserving its primary content. Many text summarization …

With the rapid growth of digital content, there is a need for an automatic text summarizer to
provide short text from a long text document. Many research works have been presented for …

Document summarization is an important task in natural language processing that helps
deal with the problem of information overload occurring due to the existence of redundant …

Machine Learning (ML) has fascinated researchers and developers to an extent that it has
been now considered as an astute to most of them. To this continuation, ML integrated with …

Abstract The Information Retrieval system aims to discover relevant documents and display
them as query responses. However, the ever-changing nature of user queries poses a …