Annals of Library and Information Studies

Open Access Open Access  Restricted Access Subscription Access

Using Text Analysis to Study Doctoral-Level Library and Information Science Research Trends in India


Affiliations
1 Department of Library and Information Science, Babasaheb Bhimrao Ambedkar University, Lucknow, U.P, India
 

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.

Keywords

Trends Analysis, Text Mining, Topic Modelling, Lis Research, Doctoral Research.
User
Notifications
Font Size

  • Dutta S and Mondal D, Library & Information Science Education in the Universities of India: growth and development of research, Library Philosophy and Practice (e-journal), 4676 (2020) 24-32. DOI: https://digitalcommons.unl.edu/libphilprac/4676

  • Dora M and Anil K H, An empirical analysis of the research trends in the field of library and information science in India–2004-2015, COLLNET Journal of Scientometrics and Information Management, 11 (2) (2017) 361-378.

  • Chandrashekara M and Ramasesh C P, Library and information science research in India, In Asia–Pacific Conference on Library & Information Education & Practice, 2009 p. 530-537.

  • Chakrabarti K, Mondal D and Maity A, A Trend Analysis of the Doctoral Dissertations in LIS Research in West Bengal, India during 1979-2018, Library Philosophy and Practice (e-journal), 4149 (2020) 1-30. DOI: https://digitalcommons.unl.edu/ libphilprac/4149

  • Pandita R and Singh S, Doctoral theses awarded in library and information science in India during 2010-2014: A Study, DESIDOC Journal of Library & Information Technology, 37 (6) (2017) 379-386.

  • Mittal R, Library and information science research trends in India, Annnals of Library and Information Studies, 58 (4) (2011) 319-325.

  • Abdoulaye K, Research trends in library and information science at the International Islamic University Malaysia, Library Review, 51 (1) (2002) 32 - 37.

  • Samdan R A and Bhatti R, Doctoral research in library and information science by Pakistani professionals: An analysis, Library Philosophy and Practice (e-journal), 649 (2011). DOI: https://digitalcommons.unl.edu/libphilprac/649

  • Mahapatra R K and Sahoo J, Doctoral dissertations in library and information science in India. Annnals of Library and Information Studies, 51 (1) (2004) 58-63.

  • Mundhial S, Sahoo J, Dash N K and Mohanty B, Indian Doctoral Research in the Field of Library and Information Science: An Empirical Analysis. International Information & Library Review, 54 (1) (2022) , 1-16.

  • Panahi S, Iotf M and Ouchi A, Global Research Trends and Hot Topics on Library and Information Science: A Bibliometric Analysis, Library Philosophy and Practice (e-journal),7073 (2022) 2-21. DOI: https://digitalcommons.unl.edu/libphilprac/7073

  • Sharma R, Sonkar S K and Kushwaha A K, Bibliometric study of the Ph. D. theses in Library and Information science of Babasaheb Bhimrao Ambedkar University Lucknow, Library Philosophy and Practice (e-journal), 5119 (2021). DOI: https://digitalcommons.unl.edu/libphilprac/5119

  • Kumbhar K N, A Bibliometric Study of Ph. D. Awarded Theses in Department of Library and Information Science, Pearl: A Journal of Library and Information Science, 13 (1) (2019) 80-85.

  • Gogoi M, Library And Information Science Research (Doctoral Theses) In India: A Bibliometric Study Through Inflibnet Shodhganga, In Proceeding of the paper presented at the conference on 11th Convention PLANNER, Tripura University, Tripura, 15-17 November 2018, p. 85-89.

  • Simte T P and Phuritsabam B, A Bibliometric Study of Research Trend In Library And Information Science In North-Eastern Region of India 1989-2018, In proceeding of the paper presented at International Conference on Innovations in Multidisciplinary Research, Imphal, 23-24 November 2021, p. 6-17.

  • Khaparde V and Ambedkar B, Growth and development of electronic theses and dissertations (ETDs) in India, Journal of Library and Information Sciences, 2 (1) (2014) 99-116.

  • Singh, S P and Babbar P, Doctoral Research in Library and Information Science in India: Trends and Issues, DESIDOC Journal of Library & Information Technology, 34 (2) (2014).

  • Jaffri S, Shahzad, K and Tariq M, Citation Analysis of Doctoral Theses Submitted During 2007 to 2016 in Pakistani Library Schools. Library Philosophy and Practice (ejournal), 6004 (2021) 1-32. DOI: https://digitalcommons.unl.edu/ libphilprac/6004

  • Raza, S N and Warraich N F, Citation Analysis of Information Management Graduates' MPhil and PhD Theses in University of the Punjab, Lahore-Pakistan. Pakistan Journal of Information Management & Libraries, 23 (2021) 96-117.

  • Han X, Evolution of research topics in LIS between 1996 and 2019: An analysis based on latent Dirichlet allocation topic model. Scientometrics, 125 (3) (2020) 2561-2595.

  • Figuerola C G, García Marco F J and Pinto M, Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA. Scientometrics, 112 (3) (2017) 1507-1535.

  • Tunalı V and Bilgin T T, Text mining and social network analysis on computer science and engineering theses in Turkey. In Proceedings of the paper presented at the conference on 15th International Conference on Computer Systems and Technologies, 4 April 2014, p.187- 193.

  • Papanikolaou N, Pavlopoulos G A, Theodosiou T and Iliopoulos I, Protein–protein interaction predictions using text mining methods. Methods, (2015) 47-53.

  • Salloum S A, Al-Emran M, Monem A A and Shaalan K, Using text mining techniques for extracting information from research articles. In Intelligent natural language processing: Trends and Applications, 2018 p. 373-397.

  • Zhou J and Fu B Q, The research on gene-disease association based on text-mining of PubMed. BMC Bioinformatics, 19 (1) (2018) 1-8.

  • Zhai X, Li Z, Gao K, Huang Y, Lin L and Wang L, Research status and trend analysis of global biomedical text mining studies in recent 10 years. Scientometrics, 105 (1) (2015) 509-523.

  • Ferreira‐Mello R, Andre M, Pinheiro A, Costa E and Romero C, Text mining in education. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 (6) (2019), 1-49.

  • Gao W, Text analysis of communication faculty publications to identify research trends and interest. Behavioral & Social Sciences Librarian, 36 (1) (2017) 36-47.

  • DiMaggio P, Adapting computational text analysis to social science (and vice versa). Big Data & Society, 2 (2) (2015).

  • Nagarkar S P and Kumbhar R, Text mining: An analysis of research published under the subject category ‘Information Science Library Science’in Web of Science Database during 1999-2013. Library Review, 64 (3) (2015) 248-262.

  • Sugimoto C R, Li D, Russell T G, Finlay S C, and Ding Y, The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation, Journal of the American Society for Information Science and Technology, 62 (1) (2011) 185-204.

  • Lamba M and Madhusudhan M, Metadata tagging of library and information science theses: Shodhganga (2013-2017), ETD 2018 Taiwan Beyond the Boundaries of Rims and Oceans: Globalizing Knowledge with ETDs, 2018.

  • Mazumder S and Barui T, Discovering Topics from the Titles of the Indian LIS Theses, Library Philosophy and Practice (e-journal), 5924 (2021) 1-23. DOI: https://digitalcommons.unl.edu/libphilprac/5924

  • Syed S and Spruit M, Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation, IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017 p.165–174. https://doi.org/10.1109/DSAA.2017.61.

  • Sarkar, D Text analytics with Python, 2nd edn (Apress Publication: Banglore), 2019, p. 1-659. Available at https://doi.org/10/1007/978-1-4842-4354-1_2

  • Doig, Christine Introduction to topic modelling in python, PyGotham (2015) Available at https://chdoig.github.io/ pygotham-topic-modeling (Accessed on 22 November 2021 )

  • Blei D M, Ng A Y and Jordan M I, Latent dirichlet allocation. Journal of Machine Learning Research, 3 (Jan) (2003) 993-1022.

  • Khusbu T and Kumar V, Application of text mining techniques on scholarly research articles: methods and tools, New Review of Academic Librarianship 28(3) (2022) 279- 308. Available at https://doi.org/10.1080/ 13614533. 2021.1918190


Abstract Views: 119

PDF Views: 63




  • Using Text Analysis to Study Doctoral-Level Library and Information Science Research Trends in India

Abstract Views: 119  |  PDF Views: 63

Authors

Vinit Kumar
Department of Library and Information Science, Babasaheb Bhimrao Ambedkar University, Lucknow, U.P, India
Khusbu Thakur
Department of Library and Information Science, Babasaheb Bhimrao Ambedkar University, Lucknow, U.P, India

Abstract


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.

Keywords


Trends Analysis, Text Mining, Topic Modelling, Lis Research, Doctoral Research.

References