基于线上评论的区域消费环境放心度与空间特征研究

Research on the Confidence Degree and Spatial Characteristics ofRegional Consumption Environment Based on Online Reviews

以大众点评平台中陕西十个地市餐饮业的线上评论数据为例,运用文本挖掘技术对数据进行特征提取,讨论了餐饮业线上消费环境指标体系的构建和量化问题。结合层次分析法和情感分析方法测算出陕西省及各地市餐饮业的消费环境总体放心度与各分项放心度,并绘制空间分位图,分析了陕西省餐饮业消费环境的空间分布特征。结果表明:基于评论数据测算出的陕西省各地市餐饮业消费环境排名与官方发布的各地市整体的消费环境排名具有一致性,因此消费者在线评论对测算当地消费环境具有一定的参考价值。

With the development of Internet technology,more and more people accustomed to online consumption.Taking the online comment data of the catering industry in 10 cities in Shaanxi Province as an example,uses text mining technology to extract the characteristics of the data,and discusses the construction and quantification of online consumption environment index system of catering industry.Combined with analytic hierarchy process(AHP)and emotional analysis method,.the total confidence degree and the sub-item confidence degree of the consumption environment of the catering industry in Shaanxi Province were calculated,and the spatial distribution characteristics of the consumption environment of the catering industry in Shaanxi Province were analyzed through the spatial distribution map.The results show that the consumption environment of the catering industry in Shaanxi Province calculated based on the comment data is not different from the official ranking of the overall consumption environment of each city,and they are consistent;Also,online consumer reviews have a certain reference value for measuring the local consumption environment,and the subsequent research on the consumption environment can consider combining the offline and online data sources to measure the consumption environment.