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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Acknowledgment
This work was supported by the RFBR grant No. 18-47-342003 p_мк “Research of the psycho-physiological health of the driver of a motor vehicle to accompany his professional activity on the basis of a specialized diagnostic hardware-software complex”.
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Ivaschenko, A., Milutkin, M. (2019). HR Decision-Making Support Based on Natural Language Processing. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_12
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DOI: https://doi.org/10.1007/978-3-030-29743-5_12
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