基于共现网络与情感分析的多平台消费者评论主题比较研究

A Comparative Study of Multi-Platform Consumer Review Topics Based on Co-Occurrence Network and Sentiment Analysis

[目的/意义]旨在以实证分析研究虚拟生活社区、社交平台、购物平台的用户对于同一款产品的评价内容主题倾向异同。[方法/过程]选取“你今天真好看”App、微博、京东三个平台为实验对象,共采集54071条同一护肤品的用户评论文本,采用LDA主题生成模型、共现网络,基于机器学习的情感分析方法对用户评论文本进行多平台比较分析。[结果/结论]研究发现三个平台共八大评论主题的主题特征词、共现网络、主题情感上各有异同,且内容倾向符合各平台特点。

[Purpose/Significance]The purpose of this article is to study the similarities and differences in the evaluation content of users of virtual life communities,social platforms and shopping platforms for the same product.[Method/Process]By selecting the three platforms of You Really Beautiful App,Weibo,and JD.com as the experimental objects,54071 user comment texts related to facial cleanser as basic skin care products were collected,using LDA topic generation model,co-occurrence network and machine learning-based sentiment analysis method,a multi-platform comparative analysis of user comment texts is carried out.[Result/Conclusion]The study found that there are similarities and differences in the topic feature words,co-occurrence network and topic sentiment of eight comment topics on the three platforms,and the content tendencies conform to the characteristics of each platform.