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.
CITATION STYLE
Ivaschenko, A., & Milutkin, M. (2019). HR decision-making support based on natural language processing. In Communications in Computer and Information Science (Vol. 1083, pp. 152–161). Springer Verlag. https://doi.org/10.1007/978-3-030-29743-5_12
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