Comparison of Topic Modelling Approaches in the Banking Context

Keyphrases

• Banking 100%
• Topic Modeling 100%
• K-means 66%
• Kernel Principal Component Analysis 66%
• BERTopic 66%
• Sentiment Analysis 33%
• Service Industry 33%
• Recommendation System 33%
• Tweets 33%
• Word Order 33%
• New Dataset 33%
• Topic Extraction 33%
• Topic Discovery 33%
• Coherent Topics 33%
• Nigerian Banks 33%
• Latent Dirichlet Allocation 33%
• Coherence Measure 33%
• Data Sparseness 33%

Computer Science

• Topic Modeling 100%
• Component Analysis 66%
• Principal Components 66%
• Sentiment Analysis 33%
• K-Means Clustering 33%
• Latent Dirichlet Allocation 33%