A Text Mining Procedure for Recognizing the Awareness of Industry 4.0 and Digitalization Perceptions in Construction Industry

Construction industry is one of the most labor and productivity intense industries, requires a continuous improvement at every time. The basic ones are through technological destruction. In the era of Industry 4.0 and Society 5.0, focus is on machine learning, artificial intelligence and deep learning algorithms by limitless attempts. Nevertheless, in the sense of urgency, industry practitioners do not consider these approaches as much. With that ground, this paper analyzes if the terms artificial intelligence, machine learning, deep learning, internet of things (considered as digitalization), are known by construction industry practitioners. Text mining methodology through Naïve Bayes Algorithm in Turkish construction practitioners is used with lists of non-academical media in Turkish construction industry journals (n = 59). Text mining approach is based on “wordcloud” and “sentiment analysis” according to the Bayesian Theorem without classifying and pointing the emotions using R programming and corresponding packages. Model supports the hypothesis with 79% performance. Results showed that practitioners are substantially behind digitalization attempts in understanding and field needs to be consolidated by practice at construction sites.