Content Monitoring and Big Data Analysis of Smart City Residents Appeals and Complaints Management

This work describes the process of creating an information system for monitoring and content analysis of appeals and complaints of residents of Smart City based on NLP and geolocation methods. An analytical review of literary sources was carried out, which describes the main principles of the research, an analysis of known means of solving the problem was carried out, and the functionality of the software was described. system, the structure of the decision-making process. System analysis for our topic has been carried out. The method of analysis of hierarchies was also carried out, which helped to determine the type of this system, it is informational and analytical since this type received the largest coefficient 0.49. Means for solving the tasks of the information system are described and the reasons for their choice are substantiated. An analysis of the capabilities of Google Maps and the use of software tools for development, namely MS SQL, was carried out. The implementation of the system is carried out and the analysis of the control example of work is described. All system functionality is considered here. The information storage system in the system is described.