The increasing amount and importance of user-generated content that is available in the web necessitates methods of its effective and efficient utilization. In this paper a system is presented that enables automated classification of user reviews concerning the usage motives mentioned in the review. Four possible applications of the system are discussed in detail in the course of this paper: a learning environment for mobile app development, a download prognosis mechanism, app prizing decision support system, a recommendation system. These applications are evaluated concerning state-of-the-art methods that currently address the challenge as well as advantages of the implementation of a motive-based system in the particular business processes.