As for academic papers, the customary methods for assessing the impact of books are based on citations, which is straightforward but limited to the coverage of databases. Alternative metrics can be used to avoid such limitations, such as blog citations and library holdings. However, content-level information is generally ignored, thus overlooking users’ intentions. Meanwhile, abundant academic reviews express scholars’ opinions on books, which can be used to assess books’ impact via fine-grained review mining. Hence, this study aims to assess books’ use impacts by conducting content mining of academic reviews automatically and thereby confirmed the usefulness of academic reviews to libraries and readers.,Firstly, 61,933 academic reviews in Choice: Current Reviews for Academic Libraries were collected with three metadata metrics. Then, review contents were mined to obtain content metrics. Finally, to identify the reliability of academic reviews, Choice review metrics and other assessment metrics for use impact were compared and analysed.,The analysis results reveal that fine-grained mining of academic reviews can help users quickly understand multi-dimensional features of books, judge or predict the impacts of mass books, so as to provide references for different types of users (e.g. libraries and public readers) in book selection.,Book impact assessment via content mining can provide more detail information for massive users and cover shortcomings of traditional methods. It provides a new perspective and method for researches on use impact assessment. Moreover, this study’s proposed method might also be a means by which to measure other publications besides books.

中文翻译：

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通过内容级学术评论挖掘衡量书籍影响

对于学术论文，评估书籍影响力的习惯方法是基于引用，这很简单，但仅限于数据库的覆盖范围。可以使用替代指标来避免此类限制，例如博客引用和图书馆馆藏。然而，内容级别的信息通常被忽略，从而忽略了用户的意图。同时，丰富的学术评论表达了学者对书籍的看法，可以通过细粒度的评论挖掘来评估书籍的影响。因此，本研究旨在通过自动进行学术评论的内容挖掘来评估书籍的使用影响，从而确认学术评论对图书馆和读者的有用性。首先，在选择：学术图书馆的当前评论中收集了 61,933 篇学术评论，其中三个元数据指标。然后，挖掘评论内容以获得内容度量。最后，为了识别学术评论的可靠性，对比分析了Choice评论指标和其他使用影响评估指标。分析结果表明，学术评论的细粒度挖掘可以帮助用户快速了解图书的多维特征，判断或预测海量图书的影响，从而为不同类型的用户（如图书馆和公众读者）选书提供参考。通过内容挖掘的图书影响评估可以为海量用户提供更详细的信息，弥补传统图书的不足。方法。为研究使用影响评估提供了新的视角和方法。此外，本研究提出的方法也可能是衡量书籍以外的其他出版物的一种手段。