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
Publisher
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by
1 articles.
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1. Survey on Automatic Text Summarization using NLP and Deep Learning;2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS);2023-04-19