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Maison Liste de prompts IA Texte/Mots Synthèse de sentiment pour avis e-commerce

Synthèse de sentiment pour avis e-commerce

Traite des centaines d'avis utilisateurs pour un produit e-commerce unique, extrait les opinions clés par sentiment et organise des résumés structurés pour aider les marchands à récupérer rapidement les retours utilisateurs.

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Process user reviews of a specific product on an e-commerce platform, first sort each review into positive, neutral and negative sentiment categories, then extract core opinions mentioned by users under each category, merge identical or similar opinions, and finally organize them into a logically clear summary for merchants to quickly understand user feedback on this product.

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Traitez les avis utilisateurs d'un produit spécifique sur une plateforme de e-commerce, triez d'abord chaque avis dans les catégories de sentiment positif, neutre et négatif, extrayez ensuite les opinions principales exprimées par les utilisateurs dans chaque catégorie, fusionnez les opinions identiques ou similaires, et organisez-les enfin en un résumé logiquement clair pour que les marchands comprennent rapidement les retours utilisateurs sur ce produit.

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Recommandation

Étiqueteur de sentiments pour avis e-commerce
Process user product reviews from Taobao's beauty category, identify the sentiment tendency of each review, divide them into three categories: positive, neutral and negative, output the corresponding sentiment tag for each review, output only the tag without extra content.
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For existing products listed on Taobao, combine recent platform hot search keywords of the product category, retain core product information and brand keywords from the original title, reorganize into a product title that meets platform search rules and has appropriate length to improve the product's search exposure and user click-through rate.
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Optimize existing product short titles provided by merchants based on the search preferences of mainstream e-commerce platforms. Keep the optimized title within the platform's character limit, accurately cover core product attributes, target users and core selling points, improve search matching, and let consumers quickly get key information. The optimized title needs to comply with platform rules and avoid illegal keyword stuffing.
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Work with the given core attributes of an e-commerce product and current platform hot search terms, adjust the word order and combination of the existing product title, keep the core keywords, and polish a Chinese product title that fits the platform's search rules better and attracts more consumer clicks.
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Rédaction courtes produits e-commerce
You polish and optimize short titles and selling point copies for retail products on e-commerce platforms, keep the product's core category, function and promotion information, adjust language fluency and wording appeal, adapt to the short reading habits of mobile consumers, meet the platform's title character limit requirements, and output a finished copy that is smooth, natural and attractive enough to get clicks from target buyers.
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