The analysis of job requirements is crucial for companies and job seekers. The thesis deals
with developing a web content mining process for analyzing job requirements in online job
advertisements. It combines methods from big data analytics knowledge discovery in databases
data mining web mining and natural language processing. In the future the web content mining
process can be integrated into an overarching recruiting 4.0 framework to support
decision-making processes.
