A survey on Text summarization using natural language processing
Manasaveerashyva Y N, Prathibha B S
Natural Language Processing, Text Summarization, Abstractive Summary, Extractive Summary.
Text Summarization is a Natural Language Processing (NLP) method that extracts and collects data fromthe source and summarizes it. Text summarization has become a requirement for many applications since manually summarizing vast amounts of information is difficult, especially with the expanding magnitude of data. Financial research, search engine optimization, media monitoring, question-answering bots, and document analysis all benefit from text summarization. This paper extensively addresses several summarizing strategies depending on intent, volume ofdata, and outcome. Our aim is to evaluate and convey an abstract viewpoint of the present scenario research work fortext summarization.
Article Details
Unique Paper ID: 155601

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 1514 - 1519
Article Preview & Download

Share This Article

Join our RMS

Conference Alert


AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management


Last Date: 7th November 2023

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews