Leveraging topic modeling for literature review enhancement: unveiling insights

Kumar D, Arun and Pandiyan I, Arun and C S, Praveena (2024) Leveraging topic modeling for literature review enhancement: unveiling insights. In: National Conference on Digital Revolution: Moving Towards Developing Smart Libraries, 7-8 June, 2024, Shivamoga.

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Abstract

In the research and academia, literature reviews play an important role in identifying gaps and synthesizing the existing knowledge for further exploration. Conducting the literature reviews in the old school way is time consuming and labour intensive, when handling the large sent of data and volume of knowledge resources. To address this challenge, we propose an Ai-assisted smart literature review system that harnesses the power of topic modelling. By automatically identifying latent topics within a corpus of knowledge resources, this system enables researchers to efficiently navigate and extract insights from the literature landscape. In this paper, we present the architecture, components, and functionalities of the proposed system, highlighting its potential to revolutionize the way literature reviews are conducted

Item Type:	Conference or Workshop Item (Paper)
Authors:	Kumar D, Arun and Pandiyan I, Arun and C S, Praveena
Document Language:	Language English
Subjects:	Technology
Divisions:	Knowledge Resource Centre
Full Text Status:	Restricted
Related URLs:	Publisher
URI:	http://publications.azimpremjiuniversity.edu.in/id/eprint/6006
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