Authors : Dr. Ashish Kumar Chakraverti; Ankit Kumar Pandey; Atul Dhadse; Shubham Choudhary; Shivam Kumar Pandey

Volume/Issue : Volume 7 - 2022, Issue 4 - April

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/39azCRq

DOI : https://doi.org/10.5281/zenodo.6535661

Abstract : Text summarization has become a reduced form that preserves its data content and general meaning. Thanks to the abundance of data we provide and thanks to the advancement of Internet Technologies, text summarization has become an important tool for deciphering text data. Text abstraction techniques can be divided into removable and invisible abstracts. An abridged summarizing method involves selecting sentences that have a high point in the message according to word structures and sentences and pausing them to produce a summary. The value of sentences is chosen according to the main factual and etymological points in the sentences. Unintelligible summaries usually find the basic ideas in a particular record and then convey those ideas in plain language. In this paper, it provides a similar investigation of the different methods of summarizing the texts.

Keywords : Text summarization, natural language processing, NLP, statistical approach.