We provide a literature review about Automatic Text Summarization (ATS) systems. We
consider a citation-based approach. We start with some popular and well-known papers that …

Featured Application A graph-based technique tested on a benchmark dataset and
augmented by machine learning techniques to provide a concise, informative, and …

Automatic text summarization is one of the most promising solutions to the ever-growing
challenges of textual data as it produces a shorter version of the original document with …

Video summarization has attracted researchers' attention because it provides a compact and
informative video version, supporting users and systems to save efforts in searching and …

Recently, the growth of technology has resulted in a rise in text data acquired from a variety
of sources and anticipated to attract substantial growth and attention. The enormous quantity …

Purpose In the era of big data, various industries are generating large amounts of text data
every day. Simplifying and summarizing these data can effectively serve users and improve …

Notably the difficult and exciting issue in the field of Natural Language Processing (NLP) is
summarizing the text. Understanding the main objective of any type of document is crucial …

Advancements in technology have placed global news at our fingertips, anytime, anywhere,
through social media and online news sources. Analyzing the extensive electronic text …

In an era overwhelmed by information, efficiently extracting relevant data from audio sources
is crucial. This study introduces WhisperSum, a solution combining OpenAI's Whisper for …

The volume of textual information available has led to the development of many solutions for
extracting relevant information from Text Mining. Modeling the topics of texts has been an …