Revolutionising Urban Planning with Artifical Intelligence

This paper explores the application of AI in urban planning, focusing on leveraging sentiment and topic analysis to gather and interpret public opinion on key urban issues such as traffic or infrastructure. We have developed an AI driven methodology that uses the social media data to identify urban issues and sentiment across the issues by using NLP methods, thereby providing urban planners with a prioritization framework that can effectively help in performing city governance in an efficient manner. The methodology offers a data driven process to effectively uncovers real-time insights from social media data.