Aspect term extraction from multi-source domain using enhanced latent Dirichlet allocation
Radhika Jinendra Dhanal,
Vijay Ram Ghorpade
Abstract:This study presents a comprehensive exploration of sentiment analysis across diverse domains through the introduction of a multi-source domain dataset encompassing hospitals, laptops, restaurants, cell phones, and electronics. Leveraging this extensive dataset, an enhanced latent Dirichlet allocation (E-LDA) model is proposed for topic modeling and aspect extraction, demonstrating superior performance with a remarkable coherence score of 0.5727. Comparative analyses with traditional LDA and other existing mode… Show more
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