Detecting the Major Trends of Information Systems in the COVID-19 Research Landscape

As the volume and diversity of COVID-19 manuscripts grow, trend topic detection has become a more crucial issue to utilize information from pandemic-specific literature. Latent Dirichlet Allocation (LDA) and bibliometric analysis are common ways of detecting trend topics. In this study, a hybrid app...

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Bibliographic Details
Main Authors: Keziban Seckin Codal, Eda Sönmez
Format: Article
Language:English
Published: Regional Information Center for Science and Technology (RICeST) 2023-07-01
Series:International Journal of Information Science and Management
Online Access:https://ijism.ricest.ac.ir/article_705745_58864058bc6f5c6d08db64dbda738abd.pdf