Categorizing job advertisements and determining fitting job advertisements

Duration: 02/2017 - 12/2017

Together with Jobware Online-Service GmbH, approaches for the automatic classification of job advertisements and for semantic searches in the job portal are being developed. More than 200,000 job advertisements that have already been categorized manually are available as training data. This offers the opportunity to implement rule-based approaches for information extraction using bootstrapping on the one hand and machine learning methods on the other, in order to create a hybrid process that is both knowledge-based and data-driven.