AI-Based Literature Reviews: A Topic Modeling Approach

Manoj Kumar Verma; Mayank Yuvaraj

doi:10.17821/srels/2023/v60i2/170967

Authors

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

DOI:

https://doi.org/10.17821/srels/2023/v60i2/170967

Keywords:

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

Abstract

The purpose of this paper is to highlight the importance of topic modelling in conducting literature reviews using the opensource 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.

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