Motivation of Individuals to Install Medical Applications: Analysis of the Open Text Data Using Machine Learning Methods

Abstract

This paper describes the results of the open text data study, and on the basis of these data the features of the communicative interaction of individuals with mobile applications have been identified. Using the method of automatic data collection and analysis, 150 applications from the Google Store were analyzed in order to highlight the facts that motivate an individual’s entry into a communicative act with a mobile application. The article provides visualization of the text structures. Based on the data obtained, it was possible to identify the main characteristics of the communicative interaction of a user with the application; in particular, some hypotheses were put forward regarding the linearity of the communicative model used by individuals.