摘要
互联网中发布着大量的招聘信息,这些信息不仅反映了公司对人才的需求,而且暗含市场中的技术热点和公司的技术主题。针对招聘信息中所蕴含的技术主题,本文提出一种将句子分类和主题抽取相结合的方法。该方法使用LDA模型对招聘信息建模,再通过SVM分类提取出与技术相关的句子,最后从技术相关的句子中抽取出技术主题,整合成招聘信息的技术主题。实验结果表明该方法能够准确地挖掘出招聘信息的技术主题,获得了良好的效果。
There is a huge number of recruitment information on Interact.These information not only respect the requirements from companies,but also imply the hot technologies in market and the technology topics in companies.For the technology topics implied by recruitment information,this paper proposes a method combining sentence classification and topic extraction.This method uses LDA to model the recruitment information,and then classifies the sentences about technology by SVM,finally,extracts the technology topics from the technology sentence and integrates them into the technology topics of recruitment information.Experimental results show that the method achieves good effect in extracting the technology topics from recruitment information.
出处
《计算机与现代化》
2013年第9期46-49,共4页
Computer and Modernization
关键词
文本挖掘
技术主题
LDA模型
招聘
mining text
technology topic
LDA
recruitment information
