This article presents a comprehensively state-of-the-art investigation of the engineering
applications utilized by binary metaheuristic algorithms. Surveyed work is categorized based …

The surge in text data has driven extensive research into developing diverse automatic
summarization approaches to effectively handle vast textual information. There are several …

Due to the exponential overflow of textual information in various fields of knowledge and on
the internet, it is very challenging to extract important information or to generate a summary …

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 …

Automatic Text Summarization (ATS) is gaining popularity as there is a growing demand for
a system capable of processing extensive textual content and delivering a concise, yet …

The availability of a tremendous amount of online information bringing about a broad
interest in extracting relevant information in a compact and meaningful way, prompted the …

Automatic summarization is a technique for quickly introducing key information by
abbreviating large sections of material. Summarization may apply to text and video with a …

Multi-document summarization (MDS) is a topic of much attention in extensive knowledge
areas. Extractive MDS techniques intend to shrink the text from a document compilation by …

The extraction of information from the extensive volume of online textual data poses a
significant challenge, and text summarization plays a pivotal role in overcoming this …

Existing extractive summarization systems suffer from the problem of identifying correct
aspects while generating summary from multiple documents on a particular topic. Online …