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Keyword and Keyphrase Extraction Techniques: A Literature Review

by Sifatullah Siddiqi, Aditi Sharan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 2
Year of Publication: 2015
Authors: Sifatullah Siddiqi, Aditi Sharan
10.5120/19161-0607

Sifatullah Siddiqi, Aditi Sharan . Keyword and Keyphrase Extraction Techniques: A Literature Review. International Journal of Computer Applications. 109, 2 ( January 2015), 18-23. DOI=10.5120/19161-0607

@article{ 10.5120/19161-0607,
author = { Sifatullah Siddiqi, Aditi Sharan },
title = { Keyword and Keyphrase Extraction Techniques: A Literature Review },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 2 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number2/19161-0607/ },
doi = { 10.5120/19161-0607 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:44.705033+05:30
%A Sifatullah Siddiqi
%A Aditi Sharan
%T Keyword and Keyphrase Extraction Techniques: A Literature Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 2
%P 18-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we present a survey of various techniques available in text mining for keyword and keyphrase extraction. Keywords and keyphrases are very useful in analyzing large amount of textual material quickly and efficiently search over the internet besides being useful for many other purposes. Keywords and keyphrases are set of representative words of a document that give high-level specification of the content for interested readers. They are used highly in the field of Computer Science especially in Information Retrieval and Natural Language Processing and can be used for index generation, query refinement, text summarization, author assistance, etc. We have also discussed some important feature selection metrics generally employed by researchers to rank candidate keywords and keyphrases according to their importance.

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Index Terms

Computer Science
Information Sciences

Keywords

Keyword extraction keyphrase extraction survey feature selection weighting measures

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