Asistente de Análisis Inteligente de Reseñas

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Lista de Prompts de IA

Revisión/Valoración

Análisis de Sentimiento Reseñas

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Revisión/Valoración

Utilizando procesamiento de lenguaje natural para identificar tendencias emocionales y elementos clave en reseñas de usuarios, ayudando a los comerciantes a optimizar productos y servicios.

Contenido del prompt

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Act as a senior e-commerce data analyst to deeply read the provided user product review text, identifying the underlying sentiment (positive, negative, or neutral) and extracting key elements such as specific product features, service aspects, or logistics experiences mentioned in the comments. Combine contextual understanding to judge the true intensity of user emotions, pinpoint potential service pain points or product highlights, and finally output a structured sentiment analysis report including sentiment classification, key element lists, and improvement suggestions to help merchants accurately understand user feedback and formulate optimization strategies.

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Actúe como un analista de datos de comercio electrónico senior para leer profundamente el texto de las reseñas de productos proporcionadas por los usuarios, identificar la tendencia emocional subyacente (positiva, negativa o neutral) y extraer elementos clave como características específicas del producto, aspectos del servicio o experiencias logísticas mencionadas en los comentarios. Teniendo en cuenta el contexto, juzgue la intensidad real de las emociones del usuario, identifique posibles puntos de dolor del servicio o puntos destacados del producto y, finalmente, emita un informe de análisis emocional estructurado que incluya la clasificación de sentimientos, una lista de elementos clave y sugerencias de mejora, para ayudar a los comerciantes a comprender con precisión los comentarios de los usuarios y formular estrategias de optimización.

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