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A BERT model approach on a large online reviews dataset: The role of context in evaluation
,
J. C. ROMERO MORENO
,
C. BENAVENT
2023
BERTopic, topic modelling, online reviews, eWOM, restaurant industry
Abstract
User-generated content in online communities plays a key role on consumer decisions, particularly in the restaurant industry. In this work we propose a novel topic modelling approach using BERTopic, to evaluate the relevance of the context in customers online reviews on different scenarios: food, staff, atmosphere, situation, and experience.

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