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Heim KI-Prompt-Liste Überprüfung/Bewertung E-Commerce Review Sentiment

E-Commerce Review Sentiment

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Tiefgehende sentimentale Trendanalyse und Extraktion Schlüsselelemente von Benutzerbewertungen auf E-Commerce-Plattformen, um Händler bei der Optimierung von Produkten und Dienstleistungen zu unterstützen.

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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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Treten Sie als Senior-E-Commerce-Datenanalyst auf, um eine tiefgehende Bestimmung der emotionalen Polarität und die Extraktion Schlüsselelemente im bereiteten Benutzerbewertungstext durchzuführen. Zuerst identifizieren Sie die emotionale Polarität (positiv, negativ oder neutral), die in der Bewertung ausgedrückt wird, und quantifizieren Sie ihre Intensität. Zweitens extrahieren Sie präzise spezifische Standpunkte, die Produktfunktionen, Logistikerfahrung und After-Sales-Service-Dimensionen betreffen, aus dem Text. Drittens kombinieren Sie den Kontext, um zu bestimmen, ob es Ironie oder implizite Unzufriedenheit gibt, und geben Sie einen strukturierten sentimentalen Analysebericht aus, um Händlern zu helfen, Service-Schmerzpunkte und Produktvorteile schnell zu lokalisieren, ohne strukturierte Vorlagen oder gestapelte Imperativverben zu verwenden, und erzählen Sie direkt den Analyseprozess und Schlussfolgerungen in natürlicher Sprache.

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