Text Mining in Reports from Student Stays in the Czech Enterprises

Abstract:

This research aims at finding differences between the organizations during innovation processes We analyze reports from student stay in the Czech enterprises with respect of innovation in the enterprise, or of potential of innovations. In this paper we analyze the student reports by means of natural language processing tools. We show which words are frequently used and how representative the student’s reports are. We show how text classification can be used for characterizing a company and what are the keywords - with respect to the company, with respect to the innovation. We compare the results with an observation of an expert.