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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Bibliographic Details
Published in:Online information review 2019-08, Vol.43 (4), p.676-690
Main Authors: Taskin, Zehra, Al, Umut
Format: Article
Language:English
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
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Summary: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.
ISSN:1468-4527
1468-4535
DOI:10.1108/OIR-07-2018-0217