Sentiment detection as a ranking signal for reviewable entities
Topics: E-E-A-T, Entity based search, Ranking, Semantic Search
This patent discusses a method, system, and computer program product for ranking reviewable entities based on the sentiment expressed in reviews. It involves collecting multiple review texts referencing an entity, generating sentiment scores for these texts, and then producing ranking scores based on these sentiment scores. The method aims to display search results for entities (like restaurants, hotels, etc.) influenced by these ranking scores.
This patent belongs to semantic Search, E-E-A-T.
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