Heuristic potential artificial intelligence in the analysis of social networks

Artifi cial intelligence is an important part of modern life. AI exists to improve lives and free up time and resources for the tasks that require thoughtful human action. The advent of artificial intelligence (AI) created new data analyzing the capabilities of the modern phenomenon of social networking, accurately analyzing and understanding the dynamics of online communities and users` sentiments. AI succeeds in such area as social media. Internet users use social media to communicate, search for information, buy things and even work. Social networks also have a high amount of data that can be used to analyze social processes and people's behavior. However, the amount of data is so large that so its processing and analysis can be a time-consuming process. Artifi cial intelligence can help to solve this problem. The article is devoted to the study of the role of artifi cial intelligence in the analysis of social networks, highlights the possibilities of AI and problems, considers various methods of analysis and data collection, such as social listening, natural language processing, as well as an automatic content classifi cation system. The use of a heuristic approach to this issue based on AI helps to signifi cantly speed up the process of data processing and reduce the cost of analysis that would be performed by manual labor. As a result, it was established that artifi cialintelligence has a great heuristic potential in the analysis of social networks. Its ability to analyze large amount of data, recognize patterns and identify data trends and also automate management tasks makes it a valuable tool for understanding social media trends and users` behavior.