Aggregating Social Review Data

We collect vast amounts of diverse social data continuously generated across digital environments and analyze users’ online behavior patterns and trend flows.
 Based on big data about cities, we analyze, compare, and diagnose competitiveness by city, location, and industry, then automatically recommend practical urban activation and growth prediction strategies—all without the need for external experts.

Data Analysis Core Features

• AI-powered natural language processing to quantify urban service indicators such as accessibility, atmosphere, vibrancy, wheelchair-friendliness, and popular attractions
• Competitiveness analysis based on quantified popularity and reputation scores
• Actionable recommendations to support urban growth prediction and activation strategies
  
  
  

Acting with Data for Real-World Use

We visualize city competitiveness indexes, enable regional and time-based comparisons, and generate actionable recommendations to help attract tourists, support local businesses, improve city marketing, and guide policy improvements.