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A Survey of Text Similarity Approaches

by Wael H. Gomaa, Aly A. Fahmy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 13
Year of Publication: 2013
Authors: Wael H. Gomaa, Aly A. Fahmy
10.5120/11638-7118

Wael H. Gomaa, Aly A. Fahmy . A Survey of Text Similarity Approaches. International Journal of Computer Applications. 68, 13 ( April 2013), 13-18. DOI=10.5120/11638-7118

@article{ 10.5120/11638-7118,
author = { Wael H. Gomaa, Aly A. Fahmy },
title = { A Survey of Text Similarity Approaches },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 13 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 13-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number13/11638-7118/ },
doi = { 10.5120/11638-7118 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:29:00.318230+05:30
%A Wael H. Gomaa
%A Aly A. Fahmy
%T A Survey of Text Similarity Approaches
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 13
%P 13-18
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Measuring the similarity between words, sentences, paragraphs and documents is an important component in various tasks such as information retrieval, document clustering, word-sense disambiguation, automatic essay scoring, short answer grading, machine translation and text summarization. This survey discusses the existing works on text similarity through partitioning them into three approaches; String-based, Corpus-based and Knowledge-based similarities. Furthermore, samples of combination between these similarities are presented.

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Index Terms

Computer Science
Information Sciences

Keywords

Text Similarity Semantic Similarity String-Based Similarity Corpus-Based Similarity Knowledge-Based Similarity

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