运筹与管理2018，Vol.27Issue(2)：32-37,6.DOI:10.12005/orms.2018.0032
一种使用在线评论信息的商品购买决策分析方法
A Decision Analysis Method for Product Purchase Based on Online Review Information
摘要
Abstract
Online review information has an important impact on consumers' product purchase decisions. In recent years, it has been especially needed to attach more attention to the new research on how to make a pertinent product purchase decision based on volume related online review information. The objective of this paper is to propose a decision analysis method for product purchase based on online review information. For the candidate products, their features that the customers focus on, as well as feature weights are determined through the mining of volume related online review information firstly. Secondly, the product purchase decision matrix concerning the candidate products is constructed through the consumers' sentiment analysis. On the basis of this, the ranking result of all candidate products is determined through a given alternative ranking method which is based on stochastic TOPSIS. Finally, a data experiment, which is conducted using the online review information of three inns from the website 'ctrip.com', is used to illustrate the practicability and feasibility of the proposed method.关键词
在线评论信息/商品购买决策/特征挖掘/情感分析/离散概率分布Key words
online review information/product purchase decision/feature mining/sentiment analysis/discrete probability distribution分类
管理科学引用本文复制引用
李永海..一种使用在线评论信息的商品购买决策分析方法[J].运筹与管理,2018,27(2):32-37,6.基金项目
国家自然科学基金资助项目(71501063,71603073,71602051) （71501063,71603073,71602051）
河南省省属高校基本科研业务费专项资金资助项目(2014SBS003) （2014SBS003）
河南省高校人文社科重点研究基地物流研究中心资助项目(2015-JD-04) （2015-JD-04）
