Abstract
Abstract: To automatically summarise a piece of content, the length of the original text must be reduced while keeping the crucial informative characteristics and meaning of the content. As a result, the automation of manual text summarization, which is a time-consuming and labor-intensive technique, is gaining popularity and is therefore a great stimulant for academic research. In today's world of information overload, abstracting and summarising large texts is crucial. Various techniques to text summarization have emerged throughout time. Traditional ways create a summary directly as a result of the document summary connection's duplication and omission. Deep learning systems have been shown to be effective in producing summaries. We focus on deep learning-based text summarization algorithms that have been developed throughout time. Keywords: Summarize text, Deep Learning Techniques, Effective, Automatization
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More From: International Journal for Research in Applied Science and Engineering Technology
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