Computer and Modernization ›› 2013, Vol. 1 ›› Issue (9): 46-49.doi: 10.3969/j.issn.1006-2475.2013.09.011

• 人工智能 • Previous Articles     Next Articles

Mining Technology Topics from Recruitment Information Using LDA

SHI Qian-kun, LIANG Zheng-you   

  1. Computer and Electronic Information College, Guangxi University, Nanning 530004, China
  • Received:2013-03-21 Revised:1900-01-01 Online:2013-09-17 Published:2013-09-17

Abstract: There is a huge number of recruitment information on Internet. 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.

Key words: mining text, technology topic, LDA, recruitment information

CLC Number: