Semantic dependence for detection the regularities of news clusters

The article is devoted to the investigation of semantic analysis for revealing the regularities of clusters. In the modern world, information is a resource, the possession of which brings valuable information for the implementation of projects, start-ups or companies. These tools allow you to structure important stages for the implementation of decision-making methods. Clusters include keywords or values from a semantic network that have their own key substructure. The patterns of these news events are determined by the dependence of the number of views on the number of clusters.