Background

As the wave of digital governance rises, government agencies across Taiwan face growing demands for public opinion analysis. From citizen discussions on social media to policy commentary in news outlets, traditional manual monitoring methods can no longer keep pace with the rapidly shifting landscape of public sentiment. Government agencies urgently need a systematic AI-powered sentiment analysis tool to scientifically understand how the public truly feels about government policies.

However, government procurement processes are rigorous and complex, requiring compliance with Government Procurement Act regulations. Many high-quality AI solutions have been inaccessible to government agencies due to their absence from the Commonly Used Products and Services Contract (共契), preventing straightforward procurement.

Challenges Faced

• Monitoring hundreds of thousands of public opinion data points from news media, social platforms, and forums daily is beyond the capacity of manual effort
• The absence of automated sentiment analysis technology makes it impossible to quickly assess positive and negative sentiment trends
• Inconsistent media monitoring report formats across departments make cross-departmental comparisons and informed decision-making difficult
• The procurement process is constrained by the government's joint supply contract mechanism, requiring vendors to hold joint procurement qualifications
• Strict data security and privacy protection requirements mandate that the system comply with government cybersecurity regulations

Industry Solutions

The government agency adopted LargitData's InfoMiner sentiment analysis platform through the Commonly Used Products and Services Contract mechanism on the Government e-Procurement System. With InfoMiner's established qualification under the 共契 framework, agencies can procure and deploy the platform directly through a streamlined purchasing process.

Implementation Overview

• InfoMiner Social Listening: provides comprehensive real-time media monitoring, sentiment analysis, trend tracking, and automated reporting capabilities
• Customizable Dashboard: configure dedicated monitoring topics and keyword combinations aligned with the agency's policy priorities
• Automated Daily/Weekly Report System: automatically generates daily sentiment intelligence summary reports, saving the time staff would otherwise spend writing reports manually
• Security-Compliant Deployment: the system architecture complies with government cybersecurity management regulations, ensuring data security

InfoMiner covers all major Taiwanese news outlets, PTT, Dcard, Facebook, LINE communities, and other key data sources. Leveraging NLP technology for Chinese-language sentiment analysis, it accurately classifies sentiment as positive, negative, or neutral.

InfoMiner Social Listening →

Implementation Results

• Report generation time reduced from 4 hours to 30 minutes, an 80% efficiency improvement
• 24/7 real-time sentiment alerts are now in place, enabling key decision-makers to be notified at the first sign of critical issues
• A unified media monitoring analysis platform is shared across departments, breaking down information silos and improving cross-departmental communication efficiency
• The joint procurement mechanism significantly streamlined the procurement process, with deployment completed within two weeks from initial request to go-live
• The system operates reliably, meets security compliance requirements, and has received high internal recognition from the agency