Estimation of the Level of Interest and Modeling of the Topic of Innovation Through Search in Google

Abstract

The study presents the use of the Google Trends Search Engine Toolkit in identifying interest in innovation trends through queries in different languages of users in Ukraine for terms of innovation: innovation, startup, innovative entrepreneurship, business incubator. The Decision Making Helper software to model the components of the impact on the development of startups in the region was built, taking into account the high asymmetry of the development of startups in the regions of Ukraine. Google Trends search engine have ample opportunities to determine users' level of interest in major trends in the economy and other areas of public life was shown, the study of moods and thoughts, which allows to form a statistical base for decision making for modeling the directions of territorial development. The example of the topic of innovation the moods and thoughts, which allowed to form a statistical base in dynamics for decision-making on modeling the tasks of innovative development of regions was explored.