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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Veröffentlicht in:Online information review Jg. 43; H. 4; S. 676 - 690
Hauptverfasser: Taskin, Zehra, Al, Umut
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bradford Emerald Publishing Limited 12.08.2019
Emerald Group Publishing Limited
Schlagworte:
Algorithms
Bibliometrics
Big Data
Citation indexes
Citations
Cocitation
Data processing
Documents
Information
Information retrieval
Information science
Information technology
Language
Libraries
Library and information science
Morphology
Natural language processing
Network analysis
Phonetics
Researcher subject relations
Researchers
Science and technology
Scientometrics
Semantics
Social network analysis
Social networks
Software
Natural language processing
Social network analysis
Library and information science
Bibliometrics
Citespace
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ISSN:1468-4527, 1468-4535
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Zusammenfassung: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.
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ISSN:1468-4527
1468-4535
DOI:10.1108/OIR-07-2018-0217