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 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Bradford
Emerald Publishing Limited
12.08.2019
Emerald Group Publishing Limited |
| Schlagworte: | |
| ISSN: | 1468-4527, 1468-4535 |
| Online-Zugang: | Volltext |
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| 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. |
|---|---|
| AbstractList | 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. PurposeWith 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. |
| Author | Taskin, Zehra Al, Umut |
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| Cites_doi | 10.1007/978-3-319-39056-7_4 10.1007/978-3-319-18609-2_5 10.1002/(SICI)1097-4571(199106)42:5<361::AID-ASI6>3.0.CO;2-# 10.1108/eb024320 10.1002/(SICI)1097-4571(199105)42:4<290::AID-ASI5>3.0.CO;2-9 10.1007/s11192-010-0259-8 10.1007/s11192-017-2610-9 10.1007/s11192-015-1529-2 10.1007/s11192-012-0829-z 10.1007/s11192-013-1004-x 10.1007/s11192-017-2560-2 10.1016/j.jbi.2008.10.002 10.1145/234173.234210 10.1007/s11192-017-2336-8 10.1073/pnas.1502280112 10.1002/asi.20543 10.1016/S0306-4573(00)00051-0 10.1108/eb026722 10.1016/j.sbspro.2013.02.089 10.1007/BF02459263 10.1108/PMM-01-2015-0001 10.1007/s11192-007-0101-0 10.1007/s11192-017-2622-5 10.1002/asi.4630270302 10.1002/asi.4630260604 10.1002/asi.21309 10.1002/(SICI)1097-4571(19980501)49:6<530::AID-ASI5>3.0.CO;2-8 10.1108/LR-07-2015-0075 10.1108/eb026960 10.1002/aris.1440370103 |
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| Keywords | Natural language processing Social network analysis Library and information science Bibliometrics Citespace VOSviewer |
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With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more... PurposeWith the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more... |
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