互联网企业社会责任不一致的连锁效应研究——基于网络爬虫技术

Li Hongyan, Zhu Daoping, Chen Hao
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引用次数: 0

摘要

本文以信息传递理论为基础,以互联网企业为研究对象,利用python网络爬虫技术,从nowcoder.com上获取互联网企业求职者的评论数据。然后,对数据进行处理,从而避免删除带有主题的脏数据或不需要的数据。最后对评论数据进行词频分析、词云图分析和网络语义关联图分析。实证研究表明,互联网企业社会责任不一致性对组织吸引力有负向影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the ripple effect of inconsistent CSR of Internet enterprises –– based on web crawler technology
Based on the theory of information transmission, this paper, taking Internet enterprises as the research object, uses python web crawler technology to get the comments data of job seekers for internet companies from nowcoder.com. Then, the data is processed that eliminates removing dirty or unneeded data with the subject. At last, the comments data are analyzed for word frequency, wordcloud graph and network semantic association graph. Empirical research shows that the inconsistent social responsibility of Internet enterprises has a negative impact on organizational attractiveness.
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