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Automatic Text Summarization

by Roshna Chettri, Udit Kr. Chakraborty
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 1
Year of Publication: 2017
Authors: Roshna Chettri, Udit Kr. Chakraborty
10.5120/ijca2017912326

Roshna Chettri, Udit Kr. Chakraborty . Automatic Text Summarization. International Journal of Computer Applications. 161, 1 ( Mar 2017), 5-7. DOI=10.5120/ijca2017912326

@article{ 10.5120/ijca2017912326,
author = { Roshna Chettri, Udit Kr. Chakraborty },
title = { Automatic Text Summarization },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 1 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 5-7 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number1/27110-2017912326/ },
doi = { 10.5120/ijca2017912326 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:32.874455+05:30
%A Roshna Chettri
%A Udit Kr. Chakraborty
%T Automatic Text Summarization
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 1
%P 5-7
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Summarization is the art of abstracting key content from one or more information sources [6]. Summarization includes text summarization, image summarization, and video summarization. Text summarization is one of application of natural language processing and is becoming more popular for information condensation [1].Information is accessible in great quantity for every topic on internet assembly the key information in the form of summary would benefit a number of users. Automatic text summarization system generates a summary, i.e. it contains short length text which comprises all the key information of the document. Summary can be generated through extractive as well as abstractive methods.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Extractive Abstractive natural language processing

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