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Aggregating customer review attributes for online reputation generation
2020
IEEE Access
In this paper, we face the problem of generating reputation for movies, products, hotels, restaurants and services by mining customer reviews expressed in natural language. To the best of our knowledge, previous studies on reputation generation for online entities have primarily examined semantic and sentiment orientation of customer reviews, disregarding other useful information that could be extracted from reviews, such as review helpfulness and review time. Therefore, we propose a new
doi:10.1109/access.2020.2996805
fatcat:jbiqmq6n5nakzid4de73ve6oai