Key words
text processing, machine learning, human resources management, semi-structured text data, compliance assessment, career planning, feedback analysis.
articles
Authors:
Stoianova O., Bakotin V. Published in
№ 5(77)
30 october 2018 year
Rubric: Performance management
Rubric: Performance management
Text processing and machine learning methods in HRM applications: opportunities and features
New tasks of human resource management require the analysis of huge volumes of semistructured
text information. Methods of text processing and machine learning can significantly
improve its effectiveness in case they take into consideration the features of tasks to be solved.
The article describes actual analytical problems of human resource management, characteristics
of information support of these problems, shortcomings and assumptions of frequently used
methods of both classes in the tasks context. An example of applying test processing and
machine learning methods in the task of compliance assessment is given in the article as well.
The author:
Stoianova O.
Degree:
Dr. Sci. (Eng.), Professor, Business Informatics and Operations Management Department, National Research University Higher School of Economics
Location:
Saint Petersburg, Russia
