Аннтотация

© 2018 IEEE. Text Big Data Analytics Study is presented (frequency-morphological analysis of open texts from Google). Visualization of Morphological Matrix, cluster analysis (hierarchical method of dendrograms creation), and Value Chain Map were implemented as the set of tools for analytics. World Economic Forum's Global Risks Report was taken as a model in studying global issues. Global Trends Map was created and is presented; it indicates global social persistent inequality. Our results were compared with Global Risks Report and Multiple Futures Project-2030. Value Chain Map, based on Text Big Data Analytics for eight countries, helped to assess economic situation in terms of competitiveness at the global market.