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2019 | OriginalPaper | Chapter

HR Decision-Making Support Based on Natural Language Processing

Authors : Anton Ivaschenko, Michael Milutkin

Published in: Creativity in Intelligent Technologies and Data Science

Publisher: Springer International Publishing

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Abstract

This paper presents an overview and analysis of IT solution of text understanding being applied to a programming professional domain. Conclusions summarize the authors’ experience in NLP/NLU in the last years. Binary classification and logistic regression is used to solve typical problems. The results of practical research are presented. The paper develops the ideas of understanding texts in software development domain using standard text processing tools. The proposed solution is recommended for HR professionals who search suitable candidates for a job based on their blogs, online presence and code.

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Metadata
Title
HR Decision-Making Support Based on Natural Language Processing
Authors
Anton Ivaschenko
Michael Milutkin
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-29743-5_12

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