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Lar Lista de Prompts de IA Revisão/Avaliação Análise de Sentimento de Resenhas

Análise de Sentimento de Resenhas

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Utilizando processamento de linguagem natural para identificar tendências emocionais e elementos-chave em resenhas de usuários, ajudando comerciantes a otimizar produtos e serviços.

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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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Atue como um analista de dados de comércio eletrônico sênior para ler profundamente o texto das resenhas de produtos fornecidas pelos usuários, identificar a tendência emocional subjacente (positiva, negativa ou neutra) e extrair elementos-chave como características específicas do produto, aspectos do serviço ou experiências logísticas mencionadas nos comentários. Tendo em mente o contexto, julgue a intensidade real das emoções do usuário, identifique possíveis pontos de dor do serviço ou destaques do produto e, finalmente, emita um relatório de análise emocional estruturado que inclua a classificação dos sentimentos, uma lista de elementos-chave e sugestões de melhoria, para ajudar os comerciantes a compreender com precisão os comentários dos usuários e formular estratégias de otimização.

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