Implementation of a Formalized Neural Network Model for Communication Analysis in a Construction Company

In today's construction industry, effective communication is critical to project success. Miscommunication and unclear instructions can lead to delays, cost overruns and safety risks. This paper presents some results of implementing a formalized neural network model for communication analysis in a construction company using advanced text analysis techniques such as Word2Vec. The model is aimed at analyzing the effectiveness of the communication of individual employees by determining the key spheres of their influence on communications. This makes it possible to eliminate or prevent the occurrence of destruction in the process of communication.