基于文本分析的传统零售研究热点探讨

Discussion on Research Hotspots of Traditional Retail Based on Text Analysis

收集传统零售相关的研究文献,运用Excel表对传统零售研究活跃度进行描述性分析;运用ROSTCM6对研究文献的关键词进行分词、词频统计;在对关键词进行社会网络及语义网络分析的基础上,运用Ucinet软件对高频词进行可视化共现网络图谱绘制;梳理出传统零售研究热点,并对传统零售未来研究方向进行展望。

The research literature on traditional retail is collected.Excel is used to carry on the descriptive analysis on the traditional retail research activeness.ROSTCM6 is used to carry on the word segmentation and word frequency statistics on the keywords of the research literature.Based on the social network and the semantic network analysis of the key words,Ucinet software are used to draw the the visual co-occurrence network map of the high-frequency words.The research hotspots of the traditional retail are combed,and the future research direction of traditional retail is prospected.