网上评论对顾客的购买决定有影响。研究在线评论中经常表达的情绪可以使营销

网上评论对顾客的购买决定有影响。研究在线评论中经常表达的情绪可以使营销人员了解情绪的作用以及它们如何影响其他顾客。研究表明，正面和负面的评论都会对顾客产生影响。Guo等人研究了具有不同情绪极性的评论对顾客的影响。他们发现，与不愉快的网上顾客评论相比，积极的网上顾客评论会导致更高的购买可能性。 Yu等人分析了在线评论，并通过基于产品销售和性能分析的情感算法来预测产品销售。

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结果 (英语) 1: [复制]

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Online reviews have an impact on customers' purchasing decisions. Studying the emotions often expressed in online reviews can give marketers an understanding of the role of emotions and how they affect other customers. Research shows that both positive and negative reviews have an impact on customers. Guo et al. studied the impact of reviews with different emotional polarities on customers. They found that positive online customer reviews led to a higher likelihood of purchase compared to unpleasant online customer reviews. Yu et al. analyzed online reviews and predicted product sales through sentiment algorithms based on product sales and performance analysis.

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结果 (英语) 2:[复制]

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Online comments have an impact on customers' purchase decisions. Studying the emotions often expressed in online comments can enable marketers to understand the role of emotions and how they affect other customers. Research shows that both positive and negative comments have an impact on customers. Guo et al. Studied the impact of comments with different emotional polarity on customers. They found that positive online customer reviews led to a higher likelihood of purchase than unpleasant online customer reviews. Yu et al. Analyzed online reviews and predicted product sales through emotional algorithms based on product sales and performance analysis.

正在翻译中..

结果 (英语) 3:[复制]

复制成功！

Online comments have influence on customers' purchasing decisions. Studying the emotions often expressed in online reviews can help marketers understand the role of emotions and how they affect other customers. Research shows that both positive and negative comments will have an impact on customers. Guo et al. studied the influence of comments with different emotional polarities on customers. They found that, compared with unpleasant online customer comments, positive online customer comments would lead to higher purchase possibility. Yu et al. analyzed online reviews and predicted product sales through emotional algorithms based on product sales and performance analysis.

正在翻译中..

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