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Natural language processing applications in library and information science
- Source :
- Online Information Review. 43:676-690
- Publication Year :
- 2019
- Publisher :
- Emerald, 2019.
-
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.
- Subjects :
- Scope (project management)
Social network
business.industry
Computer science
05 social sciences
Big data
Information technology
Library science
Subject (documents)
Library and Information Sciences
Bibliometrics
050905 science studies
computer.software_genre
Field (computer science)
Computer Science Applications
Artificial intelligence
0509 other social sciences
050904 information & library sciences
business
Social network analysis
computer
Natural language processing
Information Systems
Subjects
Details
- ISSN :
- 14684527
- Volume :
- 43
- Database :
- OpenAIRE
- Journal :
- Online Information Review
- Accession number :
- edsair.doi...........adea54908341afccb412c934647c1957