Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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AI-Based Literature Reviews : A Topic Modeling Approach


Affiliations
1 Department of Library and Information Science, Mizoram University, Aizwal - 796004, Mizoram, India
2 Central Library, Central University of South Bihar, Gaya – 824236, Bihar, India
     

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The purpose of this paper is to highlight the importance of topic modelling in conducting literature reviews using the open-source LDAShiny package in the R environment, with green libraries literature as a case study. To conduct the analysis, a title and abstract dataset were prepared using the Scopus database and imported into the LDAShiny package for further analysis. It was found that the green libraries' literature ranged from 1989-2023, with a sharp increase in research topics since 2003. The study also identified key themes and documents associated with green libraries research, revealing that energy efficiency, waste reduction and recycling, and the use of sustainable materials have been extensively discussed in the literature. However, further research is needed on the implementation of these practices in libraries, as well as the impact of the COVID-19 pandemic on green libraries. The findings will be beneficial to researchers interested in using topic modelling for literature reviews.

Keywords

Green Libraries, Latent Topics, LDA Shiny, Literature Review, Topic Modelling.
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About The Authors

Manoj Kumar Verma
Department of Library and Information Science, Mizoram University, Aizwal - 796004, Mizoram
India

Mayank Yuvaraj
Central Library, Central University of South Bihar, Gaya – 824236, Bihar
India


Notifications

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  • AI-Based Literature Reviews : A Topic Modeling Approach

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Authors

Manoj Kumar Verma
Department of Library and Information Science, Mizoram University, Aizwal - 796004, Mizoram, India
Mayank Yuvaraj
Central Library, Central University of South Bihar, Gaya – 824236, Bihar, India

Abstract


The purpose of this paper is to highlight the importance of topic modelling in conducting literature reviews using the open-source LDAShiny package in the R environment, with green libraries literature as a case study. To conduct the analysis, a title and abstract dataset were prepared using the Scopus database and imported into the LDAShiny package for further analysis. It was found that the green libraries' literature ranged from 1989-2023, with a sharp increase in research topics since 2003. The study also identified key themes and documents associated with green libraries research, revealing that energy efficiency, waste reduction and recycling, and the use of sustainable materials have been extensively discussed in the literature. However, further research is needed on the implementation of these practices in libraries, as well as the impact of the COVID-19 pandemic on green libraries. The findings will be beneficial to researchers interested in using topic modelling for literature reviews.

Keywords


Green Libraries, Latent Topics, LDA Shiny, Literature Review, Topic Modelling.

References





DOI: https://doi.org/10.17821/srels%2F2023%2Fv60i2%2F170967