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What is Trends in Comic Recognition Research about?

This study explores recent trends in comic recognition (CR) using Latent Dirichlet Allocation (LDA) for topic modeling, analyzing 490 articles published from 2004 to 2023. It identifies key research areas, including parameters of comic images and recognition techniques, while emphasizing the advantages of semi-automated analysis over traditional manual reviews. The findings highlight the dynamic growth of CR topics and suggest future research directions in this evolving field.

Author

Gökçe Şengün

Language

EN