...Suraj Kushe Shekhar Purpose The purpose of this study is to combine topic modeling with library branding to improve library collections’ accessibility and reputation by integrating data analysis and branding into library structures. This study explores how topic modeling can transform libraries...

... analyzed using the topic modeling technique and Latent Dirichlet allocation (LDA). Findings The findings show a wide range of study trends on various aspects of cryptocurrencies. In the recent years, there have been lots of research and publications on the topics such as cryptocurrency markets...

... that terms like “activity” and “acid” carry higher posterior probability. Practical implications Topic models permit us to rapidly and efficiently address higher perspective inquiries without human mediation and are also helpful in information retrieval and document clustering. The unique feature...

... and unsupervised machine learning methods, that is, topic modeling and sentiment analysis on Google app store user review data. Findings There was no visible concern shown by the citizens toward the COVID-19 app privacy breach, even though it was well highlighted in the news. Other studies have also indicated...

... Limited 2021 Emerald Publishing Limited Licensed re-use rights only Topic modeling Wikipedia Collaboration networks Bibliometric networks Keywords co-occurrence network Scholarly publications Wikipedia was launched in 2001 and since then it has grown to include more than 55 million...

... This study implements unsupervised and supervised machine learning methods, i.e. topic modeling and sentiment analysis on Twitter data for extracting the topics of discussion and calculating public sentiment. Findings Governments and policymakers remained the focus of public discussion on Twitter during...