Estimating Industry 4.0 impact on job profiles and skills using text mining

Title
Estimating Industry 4.0 impact on job profiles and skills using text mining
Authors
Keywords
Industry 4.0, Job profiles, Skills, Text Mining, Data Mining, Case-Study, Whirlpool, Skill Literature Map, Human Resource Management, Named Entity Recognition, Natural Language Processing, Job description, Technology 4.0, O*NET
Journal
COMPUTERS IN INDUSTRY
Volume 118, Issue -, Pages 103222
Publisher
Elsevier BV
Online
2020-03-13
DOI
10.1016/j.compind.2020.103222

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