Analyse de sentiment des avis e-commerce

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Examen/évaluation

Analyse Sentiment Avis E-commerce

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Examen/évaluation

Analyser les avis utilisateurs sur les plateformes de commerce électronique à l'aide du traitement du langage naturel pour identifier la polarité sentimentale et extraire les caractéristiques clés des produits, fournissant des insights axés sur les données pour aider les commerçants à améliorer la qualité des produits et la satisfaction des utilisateurs.

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Please analyze the sentiment polarity of the provided e-commerce user review texts, identifying whether each comment is positive, negative, or neutral. Extract specific product features or issues mentioned, such as quality, logistics, or service, and generate a brief report including sentiment distribution statistics, key pain point summaries, and improvement suggestions to help merchants understand user feedback and optimize their products and services.

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Veuillez analyser la polarité sentimentale des textes d'avis utilisateurs fournis sur les plateformes de commerce électronique, en identifiant si chaque commentaire est positif, négatif ou neutre. Extrayez les caractéristiques spécifiques des produits ou les problèmes mentionnés, tels que la qualité, la logistique ou le service, et générez un rapport bref incluant des statistiques de distribution des sentiments, un résumé des points de douleur clés et des suggestions d'amélioration pour aider les commerçants à comprendre les retours des utilisateurs et à optimiser leurs produits et services.

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Act as a senior e-commerce data analyst to perform deep sentiment polarity determination and key element extraction on the provided user review text. First, identify the emotional polarity (positive, negative, or neutral) expressed in the review and quantify its intensity. Second, accurately extract specific viewpoints involving product functions, logistics experience, and after-sales service dimensions from the text. Finally, combine the context to determine if there is sarcasm or implicit dissatisfaction, and output a structured sentiment analysis report to help merchants quickly locate service pain points and product advantages, without using any structured templates or stacked imperative verbs, directly narrating the analysis process and conclusions in natural language.

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Analyse Sentiment Avis E-com

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