基于S-O-R理论的新型公共阅读空间用户流失行为分析——来自大众点评网用户评论

Analysis of User Churn Behavior in New Public Reading Space Based on S-O-R Theory:From User Comments on China’s Yelp

文章以大众点评网站中新型公共阅读空间的评论数据为对象,以S-O-R模型为理论基础,利用Python爬取其“中评”与“差评”的评论数据,运用内容分析法归纳得出新型公共阅读空间用户流失行为的主要因素,并构建新型公共阅读空间用户流失行为模型。在此基础上,提出提高新型公共阅读空间服务效能的相关建议,为提高新型阅读空间的服务质量,降低用户流失率提供参考。

The article takes the comments data of new public reading space on China’s Yelp as the object,and S-O-R model as the theoretical basis,uses Python to find out neutral and negative feedback data.It summarizes the main factors of user churn behavior of new public reading space with content analysis method,and builds new public reading space user churn behavior model.On this basis,related suggestions are put forward to improve the service efficiency of new public reading space,so as to enrich user experience and reduce user churn rate.