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中文摘要：
针对在线商品评论总体质量不高、缺乏有效评论引导机制的问题，以亚马逊商品在线评论为研究对象，结合文本挖掘技术和实证研究，探究基于文本内容评论有用性的影响因素。通过以手机这一典型商品为例，发现消费者关注手机系统反应、音质、导航、打字体验，希望了解电池、充电器等配件细节，重视商家的配送、退换货、保修、发票等服务，评论文本包含这些信息会提高其有用性。
英文摘要：
In view of the problem of low quality and lacking effective guidance mechanism in online review systems, this paper takes product reviews from www. Amazon. cn as the subject and explores the factors influencing review usefulness based on the text content, using text mining and empirical research methods. Taking the mobile phone as an example, the authors find that consumers pay atten- tion to the handset system reaction, acoustic fidelity, GPS, typing experience, and hope knowing accessories such as battery, battery charger, business＇ s allocation, exchanging products services, maintenance, and receipts. If some of these factors are mentioned, the reviews will be more useful for later customers.
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