Formation of a Network of Events From News Messages Based on Generative Artificial Intelligence

Abstract

The article provides a methodology for forming a network of events in news reports based on generative artificial intelligence and an example of its application. The revolution in the field of artificial intelligence allows solving the task of not only detection but also the formation of a causal network of events, in which the causes and consequences of events are clearly indicated. Thanks to the use of generative artificial intelligence, convenient methods of extracting events from texts, their filtering, and ranking have been obtained. Identification of causal relationships is also carried out using artificial intelligence, which greatly simplifies work with natural language, the algorithms of which are embedded in large linguistic models. Visualization and analysis of formed networks can be carried out using traditional network analysis tools.

Keywords: GenAI, Event Detection, Connection Extraction, Event Network, Causal Network, Network Visualization, GraphViz