电商在线评论排序模型研究  

Research on E-Commerce Online Comment Sorting Model

作　　者：邓新洁 唐观根 龚礼春 吴国华[2] DENG Xin-jie;TANG Guan-gen;GONG Li-chun;WU Guo-hua(College of Computer Science, Hangzhou Dianzi University, Hangzhou 310018;College of Cyberspace Security, Hangzhou Dianzi University, Hangzhou 310018)

机构地区：[1]杭州电子科技大学计算机学院,杭州310018 [2]杭州电子科技大学网络空间安全学院,杭州310018

出　　处：《现代计算机》2019年第2期25-28,共4页Modern Computer

摘　　要：在线评论是网络口碑的重要形式,对消费者做出潜在购物决定具有重要影响作用。从评论形式特征和内容特征两方面进行分析,将评论内容特征分为核心信息和辅助信息两类,利用TF-IDF算法对评论文本进行处理,并结合模糊层次分析法建立排序模型。实验表明,该模型能有效对在线评论进行排序,对消费者做出购买判断有很好的辅助作用。Online commentary is an important form of online word-of-mouth, which has an important impact on consumers' potential shopping deci. sions. From the two aspects of comment form feature and content feature, divides the feature content of the review into core information and auxiliary information, uses the TF-IDF algorithm to process the comment text, and uses the fuzzy hierarchical analysis method to establish the sorting model. Experiments show that the sorting model can effectively sort online comments and has a good auxiliary effect on consum. ers' purchasing judgments.

关 键 词：在线评论 评论有用性 排序 

分 类 号：F724.6[经济管理—产业经济] F274