Abstract
The article presents a methodology for constructing a model of the subject area of parliamentary control in the form of a semantic map. This methodology is based on the use of generative artificial intelligence systems and the LegalGraph network information analysis and visualization program. It demonstrates the possibility of creating a semantic map of the subject area, a task that previously required significant time and human resources. It also shows how tools of intelligent text analysis and network analysis and visualization are integrated. This methodology can be applied to network information analysis in various subject areas and the creation of corresponding semantic maps.
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