Research Article
SCISSOR- Auto-Extraction Tool to Boost Document Scanning
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 114 - Issue 4 |
| Published: March 2015 |
| Authors: Jaini Vora, Chetashri Deshmukh |
10.5120/19965-1809
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Jaini Vora, Chetashri Deshmukh . SCISSOR- Auto-Extraction Tool to Boost Document Scanning. International Journal of Computer Applications. 114, 4 (March 2015), 12-15. DOI=10.5120/19965-1809
@article{ 10.5120/19965-1809,
author = { Jaini Vora,Chetashri Deshmukh },
title = { SCISSOR- Auto-Extraction Tool to Boost Document Scanning },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 114 },
number = { 4 },
pages = { 12-15 },
doi = { 10.5120/19965-1809 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Jaini Vora
%A Chetashri Deshmukh
%T SCISSOR- Auto-Extraction Tool to Boost Document Scanning%T
%J International Journal of Computer Applications
%V 114
%N 4
%P 12-15
%R 10.5120/19965-1809
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Text summarization has become an important tool for assisting and interpreting text information in today's fast-growing information age. It is very difficult and time consuming for human beings to manually summarize large documents of text. This paper discusses 'Scissor', the simple yet reliable tool, which allows the creation of a shortened version of a text by a computer program. The output of this tool contains only the most important points of the original text.
References
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- Ani Nenkova, Lucy Vanderwende and Kathleen McKeown. 2006. A Compositional Context Sensitive Multi-document Summarizer: Exploring the Factors That Influence Summarization.
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