The Perception of Entrepreneurship Managers and Impact on the Leadership Style in the United States With the Modern Natural Language Processing Analysis

Abstract

The perception of entrepreneurship managers plays crucial roles in the leadership style all managers. However, the managers may confront challenges when attempting to provide sufficient support for all their employees. The current study implemented a case study approach involving the modern natural language processing analysis to investigate the perception of entrepreneurship managers and impact on the leadership style in the United States. The result that texts mining improves model performance in predicting the best perceptions leadership strategies targeted at increasing understanding of the emotional intelligence to influence employee’s engagement. In the current study, essential keywords were identified from the unstructured text data, which were revealed as strong predictors in the data mining process, and also supported meaningful analysis. The study contributes to the literature through its successful use of a modern natural language processing model to derive important perspectives and opinions related to the improvement of managers performance, thus constituting a new and innovative approach to business leadership research.