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Using text analysis to study doctoral-level library and information science research trends in India

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Title Using text analysis to study doctoral-level library and information science research trends in India
 
Creator Kumar, Vinit
Thaku, Khusbu
 
Subject Trends analysis
Text mining
Topic modelling
LIS Research
Doctoral Research
 
Description 191-202
This study attempts to identify research trends in doctoral-level library and information science research in India. The
study uses topic modelling with Latent Dirichlet Allocation to identify research trends by collecting relevant sections from
the full-text of theses awarded in the last ten years by Indian universities in the discipline of library and information science.
The topic modelling results show that the entire corpus can be classified into ten topics, including information
communication technology and its application in libraries. The topic-wise trends indicate that ‘ICT and its application
in libraries’ are still the prime themes of choice among doctoral-level research in Indian LIS schools, followed by studies
on ‘Information seeking behaviour’. The growth-wise trend analysis suggests the decline in the interest in
‘Bibliometrics/Scientometrics’ and ‘Webometrics/Website evaluation studies’. The findings of the study will be of help to
academics studying the development of LIS research, as well as aspiring doctoral-level scholars who are to identify a topic
for their research work.
 
Date 2022-09-28T05:34:34Z
2022-09-28T05:34:34Z
2022-09
 
Type Article
 
Identifier 0975-2404 (Online); 0972-5423 (Print)
http://nopr.niscpr.res.in/handle/123456789/60548
https://doi.org/10.56042/alis.v69i3.58719
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source ALIS Vol.69(3) [September 2022]