2 citations · 3 across the 11 of their papers we have counts for
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cs.CL2024★ 1 cited
Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation
Junichiro Niimi
User-generated contents (UGCs) on online platforms allow marketing researchers to understand consumer preferences for products and services. With the advance of large language mode…
cs.CE2024★ 2 cited
An Efficient Multimodal Learning Framework to Comprehend Consumer Preferences Using BERT and Cross-Attention
Junichiro Niimi
Today, the acquisition of various behavioral log data has enabled deeper understanding of customer preferences and future behaviors in the marketing field. In particular, multimoda…
cs.CE2024
Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing
Junichiro Niimi
In the marketing field, understanding consumer heterogeneity, which is the internal or psychological difference among consumers that cannot be captured by behavioral logs, has long…