作为学术图书在网络中阅读、分享及购买情况的体现，网络书评已被证实可以反映学术图书的影响力。但对网络书评在图书评价中的具体应用，目前的研究还相对缺乏。针对这一现状，本文分别获取BKCI中各学科高被引学术图书在Amazon和Goodreads中的网络书评数据，对学术图书在网络平台中的关注和讨论程度，以及不同类型平台中用户的评论行为展开分析。总体来看，网络书评大多用来介绍图书内容及表达阅读体会，同时在结构和用词上具有一定规律。艺术与人文和社会科学学科图书的获评比例及评论数均高于其他学科，同时，Amazon中获评的各学科高被引图书数量多于Goodreads。在用户层面，Amazon用户更倾向于使用一星或五星的极端评分，他们对热点领域书籍的讨论度更高，其评论内容更具有购买导向性；而Goodreads拥有参与度更高的评分用户群，他们的评分相对客观，在评论的数量和长度上也低于Amazon。Goodreads用户关注和讨论的领域相对更加学术化。在情感方面，两平台评论的平均情感值没有显著差异，但在同一评分星级下，Goodreads评论的平均情感值高于Amazon。由于平台性质的不同，同样的评论行为在不同平台反映出了用户不同的评论动机及情感态度。因此，了解平台特性及其用户特点可以帮助网络书评在学术图书评价中得到更加有效的利用。

As a reflection of the reading, sharing and purchasing behavior of academic books on the Internet, online book reviews have been confirmed to be a good resource for academic book evaluation. However, the research on the specific characteristics of online book reviews is still lacking nowadays. To fill this gap, this thesis analyzes the degree of attention and discussion of academic books, as well as the reviewing behavior of users by obtaining the reviews of highly-cited academic books from Amazon and Goodreads. We find that online book reviews are mostly used to introduce book content and express reading experience, and they have certain rules in wording and structure. The reviewed proportion and number of reviews in arts and humanities and social sciences are higher than other subjects. Also, Amazon covers a wider range of highly cited books in each discipline than Goodreads. Amazon users prefer to use extreme-valued ratings. They have more discussion on books of active fields, and their reviews are more purchase-oriented. In comparison, Goodreads has a more engaged user group. Their ratings are relatively objective, and the number and length of reviews are also lower than Amazon. The study areas they talk about are more academic. There is no significant difference in the average sentiment value of the reviews in two platforms, but under the same rating star, the average sentiment value of reviews in Goodreads is higher than that in Amazon. We can conclude that the same reviewing behavior may reflect different motivations and emotional attitudes of users on different platforms. Therefore, understanding the characteristics of platform users can help online book reviews to be more effectively used in academic book evaluation.