Analysis and Evaluation of Engineering Job Demand Based on Big Data Technology

This paper carried out an analysis and evaluation research of engineering job demand based on big data technology. By collecting the semistructured or unstructured recruitment information positions website, text mining technology is used to mine knowledge model hidden in market by building a relatively perfect Dictionary professional skills positions. Based large sample data, comprehensive, multidimensional high-precision postdemand characteristic constructed. The can not only interpret existing elaborate specific skill needs different but also predict analyze estimate required combination with postresponsibility characteristics, which enable candidates submit resumes reasonably, Moreover, it provides suggestions for colleges universities other relevant employment institutions have accurate, comprehensive in-depth insight into carry effective talent training all units. Through experimental results, proved that established consistent actual situation, has certain explanatory significance current economic social phenomenon, reference value.