Abstractive Text Summarization using Deep Learning

Abstract

Abstract: The number of text records has increased dramatically in recent years, and social media structures, including websites and mobile apps, will generate a huge amount of statistics about non-text content. structure, including blogs, discussion forum posts, technical guides, and more. Statistics, which constitute human behavior and intuitive thinking, consist of many records that are relatively difficult to manage due to their large number and various factors. However, the demand for statistics summarizing textual content is increasing. Text summarization is a way of analyzing unstructured text and converting it into meaningful statistics for evaluation that will produce the necessary number of useful records. This study describes a deep learning method for effectively summarizing textual content. As a result, the reader receives a condensed and focused model of the unique textual content.