Schiller, Alexander (2019) Knowledge Discovery from CVs: A Topic Modeling Procedure. In: Internationale Tagung Wirtschaftsinformatik (WI), 23.02. -27.02.2019, Siegen.
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Abstract
With a huge number of CVs available online, recruiting via the web has become an integral part of human resource management for companies. Automated text mining methods can be used to analyze large databases containing CVs. We present a topic modeling procedure consisting of five steps with the aim of identifying competences in CVs in an automated manner. Both the procedure and its exemplary ...
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| Item type: | Conference or workshop item (Paper) |
|---|---|
| Date: | February 2019 |
| Institutions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich) |
| Keywords: | Text Mining, Topic Modeling, Latent Dirichlet Allocation, Human Resource Management |
| Dewey Decimal Classification: | 000 Computer science, information & general works > 004 Computer science 300 Social sciences > 330 Economics |
| Status: | Published |
| Refereed: | Yes, this version has been refereed |
| Created at the University of Regensburg: | Yes |
| Item ID: | 41004 |
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