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Natural language processing applications in library and information science

Natural language processing applications in library and information science 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/approachWithin 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.FindingsAfter 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/valueThe results of this paper draw a general framework for LIS field and guides researchers on new techniques that may be useful in the field. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Online Information Review Emerald Publishing

Natural language processing applications in library and information science

Online Information Review , Volume 43 (4): 15 – Jul 30, 2019

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References (74)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
1468-4527
DOI
10.1108/oir-07-2018-0217
Publisher site
See Article on Publisher Site

Abstract

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/approachWithin 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.FindingsAfter 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/valueThe results of this paper draw a general framework for LIS field and guides researchers on new techniques that may be useful in the field.

Journal

Online Information ReviewEmerald Publishing

Published: Jul 30, 2019

Keywords: Social network analysis; Bibliometrics; Library and information science; Citespace; VOSviewer; Natural language processing

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