Data Analytics for Predicting Situational Developments in Smart Cities: Assessing User Perceptions.

ABSTRACT: The analysis of large volumes of data collected from heterogeneous sources is increasingly important for the development of megacities, the advancement of smart city technologies, and ensuring a high quality of life for citizens. This study aimed to develop algorithms for analyzing and interpreting social media data to assess citizens' opinions in real time and for verifying and examining data to analyze social tension and predict the development of situations during the implementation of urban projects. The developed algorithms were tested using an urban project in the field of transportation system development. The study's material included data from social networks, messenger channels and chats, video hosting platforms, blogs, microblogs, forums, and review sites. An interdisciplinary a

SUBMITTER: Kharlamov AA 

PROVIDER: S-EPMC11315002 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature