基于模糊TOPSIS分析的在线评论有用性排序过滤模型研究——以亚马逊手机评论为例

目的/意义] 针对中文网络客户评论，提出一种在线评论有用性排序模型，辅助消费者做出购买决策。方法/过程] 从在线评论的形式特征和内容特征两个方面，提取影响在线评论有用性的7个指标属性进行量化计算，采用模糊层次分析法进行指标赋权，结合并改进TOPSIS分析法进行在线评论有用性计算和排序，构建在线评论有用性指标体系和排序模型。结果/结论] 通过比较分析，发现本文模型获得的评论有用性排序具有更好的信度与效度，为中文网络客户评论提供一种兼顾评论客观信息和语义特性的有用性排序方法。

Research on the Usefulness of Online Review Based on Fuzzy TOPSIS Analysis: A Case Study of Amazon's Mobile Phone Review

Purpose/significance] Aiming at the Chinese customer reviews on the Internet,the paper gives a review credibility ranking model,for auxiliary consumer decision making.Method/process] From two aspects of the features of form and content on online reviews,extracts seven index attributes effecting the usefulness of online reviews and gives a quantitative calculation. Using the fuzzy analytic hierarchy process to determine the index weight,with the improved TOPSIS analysis method to construct the online reviews useful computation and sorting,online reviews credibility index system and ranking model is constructed.Result/conclusion] Compared with the original review of the website,the review of the model is more scientific and reasonable, providing a kind of confidence ranking method for the Chinese Web customer reviews to provide a balanced review of the objective information and semantic features.