Deriving Cognitive Map Concepts on the Basis of Social Media Data Clustering

With data storage and processing technology developing fast, there has been accumulated a great amount of open data that comes from everywhere including social media. One of the promising tools to analyze these data is fuzzy cognitive maps that help to describe connections and substances to reveal patterns, facts and knowledge. One of the problems when creating cognitive maps is the identification of concepts and relations between them, which is usually solved by the expert way. However, this approach is not always effective. This work tries to solve the topical issue of automatic cognitive map building based on cluster analysis methods. The article features both the proposed cognitive map building algorithm description and the results of Twitter data-based experiments.