HIGHLIGHTS
- who: Bayode Ogunleye et al. from the Department of Computing, Sheffield Hallam University, Sheffield , NU, UK have published the research work: Comparison of Topic Modelling Approaches in the Banking Context, in the Journal: (JOURNAL)
- what: This model has received praise in terms of performance when applied to short text. Variants of this model have also been proposed such as Twitter-BTM and GraphBTM . The authors propose the use of Kernel Principal Component Analysis (KernelPCA) and Kmeans clustering in the BERTopic architecture for topic modelling. The aim of this study was to determine the state-of . . .
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