网络招聘信息的分析与挖掘

Analysis and Mining of Network Recruitment Information

摘要: 本文以研究大数据时代下人才就业与网络招聘信息之间的问题为基础，主要从城市、行业、职位这几个方面通过R语言对网络招聘信息进行文本分析与挖掘，分析目前的人才需求情况，并用灰色预测模型预测出提供岗位数与求职人员数，实现企业与人才间在网络平台上的互动，达到更好的匹配功能，最后给相关企业的人才招聘以及大学生的就业规划指导提出自己的建议。

Abstract: The employment and network recruitment information is based on the study of the era of big data problems through the R language analysis of the Network Recruitment Information and text mining, mainly from the city, industry, and several aspects of this position. The analysis is related to the current situation of talent demand, forecasts the number of posts and provides job seekers with grey number of the prediction model, accomplishing the enterprise and talent performance in network platform interaction. This can achieve better function. Finally, the thesis will put forward proposals to the relevant corporate recruitment and employment planning guidance.