Survey on Automatic Text Summarization using NLP and Deep Learning

Automatic text generation is used extensively for various purposes such as creating content for websites, generating reports, articles etc. Automatic Text summarization uses several strategies to summarize the text and can save time and effort. Significant works are done regarding the text summarization process, but achieving automatic accurate text summarization without losing the meaning and context of the words is a challenge. Abstractive and Extractive methods are used in Text summarization and various researchers have investigated and contributed to the text summarization process in the form algorithms. In this paper we intend to present the text summarization methods and procedures suggested in various research papers along with their pros, and future scope. The study of various text summarization methods helps the researchers in understanding the considerations, applicability, and accuracy of these methods and suggest the need for an improved text summarization model.