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文章从在线评论数据挖掘的视角对书籍设计师改进图书设计、提升读者体验进行理论探讨和实证分析。通过案例研究、实证分析的方法,对图书在线评论进行文本挖掘,分析书籍设计的影响因素,如在线评论数、评论的情感倾向、评论内容等。在大数据背景下,通过分析用户产生的海量图书在线评论为书籍的设计及再设计提供了重要的市场需求信息,从用户评论中挖掘价值是未来图书设计中的一种重要方式。
From the perspective of online reviewing data mining, the article conducts theoretical discussion and empirical analysis on the improvement of book design by book designers and the promotion of reader experience. Through case studies and empirical analysis, this paper conducts text mining on online reviews of books and analyzes the influencing factors of books’ design, such as the number of online reviews, the emotional tendency of comments, the content of commentary and so on. In the context of big data, online reviews of massive books produced by users provide important market demand information for the design and redesign of books. It is an important way for future book design to tap the value from user comments.