Classificação automática de sentimento de avaliações de produtos de e-commerce

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Classificador de sentimento de avaliações de e-commerce

Classifica automaticamente a polaridade do sentimento de avaliações de produtos de usuários de plataformas de e-commerce em positivas, neutras e negativas, ajudando vendedores a organizar rapidamente o feedback dos usuários.

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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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Leia um conjunto fornecido de textos de avaliações de usuários de produtos em plataformas de e-commerce, determine a polaridade do sentimento para cada avaliação e divida-a em três categorias: positiva, neutra e negativa, gere uma tabela organizada com os resultados da classificação e garanta que os resultados estejam de acordo com a percepção geral do público sobre o sentimento das avaliações.

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