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
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.