The new era of technology has brought us to the point where it is convenient for people to
share their opinions over an abundance of platforms. These platforms have a provision for …

Abstract Knowledge can be represented through semantic networks, which have the
advantages of being simple, clear, and easy to visualize. The literature points to the …

Existing text summarization methods mainly rely on the mapping between manually labeled
standard summaries and the original text for feature extraction, often ignoring the internal …

Text summarization is the process of converting the input document into a short form,
provided that it preserves the overall meaning associated with it. Primarily, text …

Text summarization is a technique for shortening down or exacting a long text or document.
It becomes critical when someone needs a quick and accurate summary of very long …

Abstract To increase the Information Retrieval System's efficiency, there is a requirement to
expand the native user query. There are many approaches to enhance the user query in …

Digital news articles are often considered as a primary source of information in today's
information-driven society which requires query processing methods to handle the ever …

Text summarization is the process of creating a text summary that contains important
information from a text document. In recent years, significant progress has been made in the …

Background Text summarization is a challenging problem in Natural Language Processing,
which involves condensing the content of textual documents without losing their overall …

Purpose Query-based summarization approaches might not be able to provide summaries
compatible with the user's information need, as they mostly rely on a limited source of …