Natural language processing applications in library and information science

Zehra Taskin (Department of Information Management, Hacettepe University, Ankara, Turkey)
Umut Al (Department of Information Management, Hacettepe University, Ankara, Turkey)

Online Information Review

ISSN: 1468-4527

Publication date: 12 August 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.

Keywords

Acknowledgements

This paper was supported in part by a research grant from the Turkish Scientific and Technological Research Center (115K440).

Citation

Taskin, Z. and Al, U. (2019), "Natural language processing applications in library and information science", Online Information Review, Vol. 43 No. 4, pp. 676-690. https://doi.org/10.1108/OIR-07-2018-0217

Download as .RIS

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

Please note you might not have access to this content

You may be able to access this content by login via Shibboleth, Open Athens or with your Emerald account.
If you would like to contact us about accessing this content, click the button and fill out the form.
To rent this content from Deepdyve, please click the button.