• Madishetti Raviteja
• Chaluvadi Abhishek
• Mula Anvesh Reddy
• Sontenam Sai Sampath Ashish
• M. Venkata Ramana

In this modern era, with so much information on the Internet, it's vital to provide a fast and efficient method of extracting data. It is difficult for people to manually retrieving the summary of a large written document. You may find a large range of written content on the Internet. As a result, finding relevant documents among the large number of documents available, let alone extracting important information from it, is difficult. In order to address the two concerns mentioned above, automatic text summarizing is required. Text summarizing is the process of picking the most important and meaningful information from a document or group of texts and summarizing it into a simpler form while keeping the general meanings.

Text Summarization, Nlp, Extractive Summary, Abstractive Summary, and Deep Learning are some of the terms used in this paper

" AUTOMATIC TEXT SUMMARIZATION USING DEEP LEARNING AND NLP MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.a142-a148, April-2022, Available :http://www.jetir.org/papers/JETIR2204019.pdf

" AUTOMATIC TEXT SUMMARIZATION USING DEEP LEARNING AND NLP MODEL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppa142-a148, April-2022, Available at : http://www.jetir.org/papers/JETIR2204019.pdf