Classification automatique de sentiment des avis de produits e-commerce

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Classificateur de sentiment pour avis e-commerce

Classe automatiquement la polarité émotionnelle des avis produits des utilisateurs de plateformes e-commerce en positifs, neutres et négatifs pour aider les commerçants à traiter rapidement les retours utilisateurs.

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Read a given set of user review texts for products on e-commerce platforms, judge the sentiment polarity for each review and divide it into three categories: positive, neutral and negative, output an organized table with classification results, and ensure the classification results conform to the public's general perception of review sentiment.

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Lisez un ensemble donné de textes d'avis d'utilisateurs sur des produits de plateformes e-commerce, déterminez la polarité émotionnelle de chaque avis et le divisez en trois catégories : positif, neutre et négatif, générez un tableau organisé avec les résultats de classification, et assurez-vous que les résultats correspondent à la perception générale du public sur le sentiment des avis.

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