在线评论数据挖掘视角下的产品改良设计研究

Product Improvement Design from the Perspective of Online Comment Data Mining

目的互联网大背景下,从在线评论数据挖掘的视角,探索产品改良设计方法。方法通过python爬虫工具抓取特定产品的在线评论,对数据进行预处理、分词与词性标注之后,应用Apriori算法挖掘用户高频关注的产品属性。并应用SO-PMI算法计算各属性综合评价值,通过分析属性评价值,确定产品存在的问题。再应用TRIZ分析,选出产生矛盾的工程参数,查找矛盾矩阵,得到创新原理解。最后结合具体问题将其转化为改良设计方案,完成改良设计。以天猫旗舰店的一款销量较好的宜兴紫砂壶的在线评论为实例研究,抓取评论数据,挖掘用户关注的紫砂壶属性,并计算出属性评价值。发现紫砂壶存在造型同质化和断水性差的问题,运用TRIZ理论的抽取原理和曲面化原理解决问题,完成紫砂壶的改良设计。结论从评论数据中能够挖掘到更加全面、具体、直观的用户对产品的反馈信息,更好地辅助产品的改良设计。

In the context of the Internet,from the perspective of online comment data mining,explore product improvement design methods.The python crawler tool is used to capture the comment data of a specific product.After data pre-processing and word segmentation,the Apriori algorithm based on the association rule is applied to mine the product attributes that the user focuses on,and the SO-PMI algorithm is used to calculate the evaluation value of each attribute,according to the product.Attribute evaluation value,analyze the problems of products,apply TRIZ theory to determine the technical parameters of the research,find out the applicable innovation principle by querying the contradiction matrix,and solve the design problems of product existence.The case study takes the online commentary of an Yixing teapot in Tmall’s“Changtao Flagship Store”as an example.Climb the comment data,explore the attribute of the teapot that the user pays attention to,and calculate the attribute evaluation value,and find that the shape of the teapot is homogeneous.The problem of poor water quality and water cutoff is solved by using the extraction principle and surface modification principle of TRIZ theory to complete the improved design of the teapot.From the review data,we can dig into more comprehensive,specific and intuitive feedback from users on products,and better design of auxiliary products.