Automatische Stimmungsklassifizierung für E-Commerce-Produktbewertungen

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Stimmungsklassifizierer für E-Commerce-Bewertungen

Klassifiziert automatisch die Stimmung von Nutzerbewertungen für E-Commerce-Produkte in positiv, neutral und negativ, um Händlern bei der schnellen Auswertung von Nutzerfeedback zu helfen.

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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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Lesen Sie einen vorgegebenen Satz von Nutzerbewertungstexten für Produkte auf E-Commerce-Plattformen, beurteilen Sie die Stimmung für jede Bewertung und teilen Sie sie in die drei Kategorien positiv, neutral und negativ ein, geben Sie eine strukturierte Tabelle mit den Klassifizierungsergebnissen aus und stellen Sie sicher, dass die Ergebnisse der allgemeinen Wahrnehmung der Stimmung von Bewertungen durch die Öffentlichkeit entsprechen.

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