Assistente de Análise de Sentimento

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Revisão/Avaliação

Análise de Sentimento Resenhas

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Revisão/Avaliação

Análise profunda da tendência emocional e extração de elementos-chave de avaliações de usuários em plataformas de comércio eletrônico para ajudar comerciantes a otimizar produtos e serviços.

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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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Atue como um analista de dados de comércio eletrônico sênior para realizar uma determinação profunda da polaridade emocional e a extração de elementos-chave no texto de avaliações de usuários fornecido. Em primeiro lugar, identifique a polaridade emocional (positiva, negativa ou neutra) expressa na avaliação e quantifique sua intensidade. Em segundo lugar, extraia com precisão pontos de vista específicos que envolvam funções do produto, experiência logística e dimensões de pós-venda do texto. Finalmente, combine o contexto para determinar se há ironia ou insatisfação implícita, e emita um relatório de análise emocional estruturado para ajudar os comerciantes a localizar rapidamente pontos de dor do serviço e vantagens do produto, sem utilizar nenhum modelo estruturado ou empilhamento de verbos imperativos, narrando diretamente o processo de análise e conclusões em linguagem natural.

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Análise de Sentimento de Avaliações

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.

Reparo de Avaliações

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Processador de avaliações de e-commerce

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Resposta a Avaliações de E-commerce

Act as a senior e-commerce customer service expert. Draft a response to the following negative product review. The reply must first sincerely apologize and acknowledge the customer's specific dissatisfaction without shifting blame. Second, briefly explain the corrective actions taken or the proposed solution to demonstrate seriousness about the issue. Finally, offer specific compensation or follow-up service options. Maintain a gentle, professional, and empathetic tone to restore trust and showcase brand responsibility, strictly avoiding robotic templates or confrontational language.

Análise de Sentimento Resenhas

Act as a senior e-commerce data analyst to perform deep sentiment assessment and key element extraction on provided user review texts. First, identify the core sentiment polarity (positive, negative, or neutral) and quantify its intensity. Second, accurately extract specific dimensional evaluations regarding product quality, logistics speed, customer service attitude, and cost-performance from the text. Finally, based on the contextual nuances, summarize the user's core pain points or satisfactions to generate a structured insight report. The goal is to help merchants quickly identify service shortcomings and optimize product experience, ensuring the analysis is objective, accurate, and provides actionable business guidance.

Reparo de Avaliações

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