首页|基于在线评论的青年群体就业信息挖掘研究——以豆瓣小组"上班这件事"为对象的分析

基于在线评论的青年群体就业信息挖掘研究——以豆瓣小组"上班这件事"为对象的分析

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为更好地适应新形势下的就业特点,对青年就业群体的就业需求和就业观念进行了更深层次地剖析.获取豆瓣小组"上班这件事"中用户发帖信息,采用LDA(latent Dirichlet allocation)主题模型、ROST CM6.0、SnowNLP方法,进行主题识别与情感分析.结果发现,当前青年群体关注的就业相关主题可分为35类,情感倾向总体呈现为负面.最后结合研究结果,针对劳动市场信息建设、青年劳动群体就业指导、信息渠道建设等方面提出了建议.
Employment Information Mining of Young People Based on Online Comments:An Analysis of"the Matter of Going to Work"in Douban Group
In order to better adapt to the employment characteristics under the new situation,the employment needs and concepts of the youth employment group were analyzed at a deeper level.User posting information from the Douban group on"Working"was obtained.LDA topic model,ROST CM6.0 and SnowNLP method were used for topic recognition and sentiment analysis.It is found that the employment related themes that the current youth group is concerned about can be divided into 35 categories,with an overall negative emotional tendency.Finally,based on the research results,targeted suggestions are put forward in areas such as labor market information construction,employment guidance for young labor groups and information channel construction.

youth grouptext miningemployment informationsentiment analysis

叶雨鑫、程雨琦

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上海大学文化遗产与信息管理学院,上海 200444

青年群体 文本挖掘 就业信息 情感分析

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(22)