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Natural language processing applications in library and information science
Purpose With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more practical. Nowadays, especially when big data are used in most research, NLP provides fast and easy methods for processing these data. The purpo...
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Published in: | Online information review 2019-08, Vol.43 (4), p.676-690 |
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container_title | Online information review |
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creator | Taskin, Zehra Al, Umut |
description | Purpose
With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more practical. Nowadays, especially when big data are used in most research, NLP provides fast and easy methods for processing these data. The purpose of this paper is to identify subfields of library and information science (LIS) where NLP can be used and to provide a guide based on bibliometrics and social network analyses for researchers who intend to study this subject.
Design/methodology/approach
Within the scope of this study, 6,607 publications, including NLP methods published in the field of LIS, are examined and visualized by social network analysis methods.
Findings
After evaluating the obtained results, the subject categories of publications, frequently used keywords in these publications and the relationships between these words are revealed. Finally, the core journals and articles are classified thematically for researchers working in the field of LIS and planning to apply NLP in their research.
Originality/value
The results of this paper draw a general framework for LIS field and guides researchers on new techniques that may be useful in the field. |
doi_str_mv | 10.1108/OIR-07-2018-0217 |
format | article |
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With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more practical. Nowadays, especially when big data are used in most research, NLP provides fast and easy methods for processing these data. The purpose of this paper is to identify subfields of library and information science (LIS) where NLP can be used and to provide a guide based on bibliometrics and social network analyses for researchers who intend to study this subject.
Design/methodology/approach
Within the scope of this study, 6,607 publications, including NLP methods published in the field of LIS, are examined and visualized by social network analysis methods.
Findings
After evaluating the obtained results, the subject categories of publications, frequently used keywords in these publications and the relationships between these words are revealed. Finally, the core journals and articles are classified thematically for researchers working in the field of LIS and planning to apply NLP in their research.
Originality/value
The results of this paper draw a general framework for LIS field and guides researchers on new techniques that may be useful in the field.</description><identifier>ISSN: 1468-4527</identifier><identifier>EISSN: 1468-4535</identifier><identifier>DOI: 10.1108/OIR-07-2018-0217</identifier><language>eng</language><publisher>Bradford: Emerald Publishing Limited</publisher><subject>Algorithms ; Bibliometrics ; Citation indexes ; Citations ; Cocitation ; Documents ; Information retrieval ; Information technology ; Language ; Libraries ; Library and information science ; Morphology ; Natural language processing ; Network analysis ; Phonetics ; Researchers ; Scientometrics ; Semantics ; Social network analysis ; Social networks ; Software</subject><ispartof>Online information review, 2019-08, Vol.43 (4), p.676-690</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c377t-5fbea41da1852d1f77c049803d547766d981010c181d6449ec1c62fca5ad37693</citedby><cites>FETCH-LOGICAL-c377t-5fbea41da1852d1f77c049803d547766d981010c181d6449ec1c62fca5ad37693</cites><orcidid>0000-0001-7102-493X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2266854542/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2266854542?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,11688,12851,21378,21381,21394,27305,27924,27925,31269,33611,33877,33906,34135,36060,43733,43880,43892,44363,74221,74397,74409,74895</link.rule.ids></links><search><creatorcontrib>Taskin, Zehra</creatorcontrib><creatorcontrib>Al, Umut</creatorcontrib><title>Natural language processing applications in library and information science</title><title>Online information review</title><description>Purpose
With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more practical. Nowadays, especially when big data are used in most research, NLP provides fast and easy methods for processing these data. The purpose of this paper is to identify subfields of library and information science (LIS) where NLP can be used and to provide a guide based on bibliometrics and social network analyses for researchers who intend to study this subject.
Design/methodology/approach
Within the scope of this study, 6,607 publications, including NLP methods published in the field of LIS, are examined and visualized by social network analysis methods.
Findings
After evaluating the obtained results, the subject categories of publications, frequently used keywords in these publications and the relationships between these words are revealed. Finally, the core journals and articles are classified thematically for researchers working in the field of LIS and planning to apply NLP in their research.
Originality/value
The results of this paper draw a general framework for LIS field and guides researchers on new techniques that may be useful in the field.</description><subject>Algorithms</subject><subject>Bibliometrics</subject><subject>Citation indexes</subject><subject>Citations</subject><subject>Cocitation</subject><subject>Documents</subject><subject>Information retrieval</subject><subject>Information technology</subject><subject>Language</subject><subject>Libraries</subject><subject>Library and information science</subject><subject>Morphology</subject><subject>Natural language processing</subject><subject>Network analysis</subject><subject>Phonetics</subject><subject>Researchers</subject><subject>Scientometrics</subject><subject>Semantics</subject><subject>Social network analysis</subject><subject>Social networks</subject><subject>Software</subject><issn>1468-4527</issn><issn>1468-4535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>7T9</sourceid><sourceid>ALSLI</sourceid><sourceid>CJNVE</sourceid><sourceid>CNYFK</sourceid><sourceid>F2A</sourceid><sourceid>M0C</sourceid><sourceid>M0P</sourceid><sourceid>M1O</sourceid><recordid>eNptkM1LAzEQxYMoWKt3jwue12byvUcpfhSLBdFzSJNsSdnursnuwf_erBVB8DQzzHszjx9C14BvAbBabFavJZYlwaBKTECeoBkwoUrGKT_97Yk8Rxcp7TEGwiifoecXM4zRNEVj2t1odr7oY2d9SqHdFabvm2DNELo2FaEtmrCNJn4WpnV5rLt4-N4VyQbfWn-JzmrTJH_1U-fo_eH-bflUrjePq-XdurRUyqHk9dYbBs6A4sRBLaXFrFKYOs6kFMJVCjBgCwqcYKzyFqwgtTXcOCpFRefo5ng3R_0YfRr0vhtjm19qQoRQnHFGsgofVTZ2KUVf6z6GQ46vAesJmc7INJZ6QqYnZNmyOFr8wWcm7j_HH8j0C8uybKc</recordid><startdate>20190812</startdate><enddate>20190812</enddate><creator>Taskin, Zehra</creator><creator>Al, Umut</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>7RV</scope><scope>7SC</scope><scope>7T9</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L.0</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M0P</scope><scope>M1O</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-7102-493X</orcidid></search><sort><creationdate>20190812</creationdate><title>Natural language processing applications in library and information science</title><author>Taskin, Zehra ; Al, Umut</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c377t-5fbea41da1852d1f77c049803d547766d981010c181d6449ec1c62fca5ad37693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Bibliometrics</topic><topic>Citation indexes</topic><topic>Citations</topic><topic>Cocitation</topic><topic>Documents</topic><topic>Information retrieval</topic><topic>Information technology</topic><topic>Language</topic><topic>Libraries</topic><topic>Library and information science</topic><topic>Morphology</topic><topic>Natural language processing</topic><topic>Network analysis</topic><topic>Phonetics</topic><topic>Researchers</topic><topic>Scientometrics</topic><topic>Semantics</topic><topic>Social network analysis</topic><topic>Social networks</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Taskin, Zehra</creatorcontrib><creatorcontrib>Al, Umut</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Linguistics and Language Behavior Abstracts (LLBA)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>ProQuest Education Journals</collection><collection>Library Science Database</collection><collection>ProQuest research library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>One Business</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Online information review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Taskin, Zehra</au><au>Al, Umut</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Natural language processing applications in library and information science</atitle><jtitle>Online information review</jtitle><date>2019-08-12</date><risdate>2019</risdate><volume>43</volume><issue>4</issue><spage>676</spage><epage>690</epage><pages>676-690</pages><issn>1468-4527</issn><eissn>1468-4535</eissn><abstract>Purpose
With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more practical. Nowadays, especially when big data are used in most research, NLP provides fast and easy methods for processing these data. The purpose of this paper is to identify subfields of library and information science (LIS) where NLP can be used and to provide a guide based on bibliometrics and social network analyses for researchers who intend to study this subject.
Design/methodology/approach
Within the scope of this study, 6,607 publications, including NLP methods published in the field of LIS, are examined and visualized by social network analysis methods.
Findings
After evaluating the obtained results, the subject categories of publications, frequently used keywords in these publications and the relationships between these words are revealed. Finally, the core journals and articles are classified thematically for researchers working in the field of LIS and planning to apply NLP in their research.
Originality/value
The results of this paper draw a general framework for LIS field and guides researchers on new techniques that may be useful in the field.</abstract><cop>Bradford</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/OIR-07-2018-0217</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-7102-493X</orcidid></addata></record> |
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subjects | Algorithms Bibliometrics Citation indexes Citations Cocitation Documents Information retrieval Information technology Language Libraries Library and information science Morphology Natural language processing Network analysis Phonetics Researchers Scientometrics Semantics Social network analysis Social networks Software |
title | Natural language processing applications in library and information science |
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