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Trends in Extractive and Abstractive Techniques in Text Summarization
by
Neelima Bhatia,
Arunima Jaiswal
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 117 - Number 6 |
| Year of Publication: 2015 |
| Authors: Neelima Bhatia, Arunima Jaiswal |
10.5120/20559-2947
|
Neelima Bhatia, Arunima Jaiswal . Trends in Extractive and Abstractive Techniques in Text Summarization. International Journal of Computer Applications. 117, 6 ( May 2015), 21-24. DOI=10.5120/20559-2947
@article{
10.5120/20559-2947,
author = {
Neelima Bhatia,
Arunima Jaiswal
},
title = { Trends in Extractive and Abstractive Techniques in Text Summarization },
journal = {
International Journal of Computer Applications
},
issue_date = { May 2015 },
volume = { 117 },
number = { 6 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = {
21-24
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume117/number6/20559-2947/
},
doi = { 10.5120/20559-2947 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:37.350643+05:30
%A Neelima Bhatia
%A Arunima Jaiswal
%T Trends in Extractive and Abstractive Techniques in Text Summarization
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 6
%P 21-24
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Text Summarization was proved to be an advantage over manually summarizing the large data. It condenses the salient features from the text by preserving the content and serves the meaningful summary. Classification can be done in two ways – extractive and abstractive summarization. Extractive summarization uses statistical and linguistic features to determine the important features and fuse them into a shorter version. Whereas abstractive summarization understands the whole document and then generates the summary. In this paper extractive and abstractive methods are framed.
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Index Terms
Computer Science
Information Sciences
Keywords