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Knowledge Discovery from CVs: A Topic Modeling Procedure

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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Date of publication of this fulltext: 08 Nov 2019 12:57

Other URL: https://aisel.aisnet.org/wi2019/track05/papers/8/


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
Owner only: item control page

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