AI-Powered Sentiment Analysis for Public Feedback

Consultations often include large amounts of open-ended responses, making it difficult to quickly identify sentiment and key themes. By integrating AI-powered sentiment analysis (e.g., AWS Comprehend, Google Natural Language API), Citizen Space could:

• Automatically analyze public sentiment (positive, neutral, negative)
• Highlight recurring themes and concerns
• Flag potentially inappropriate content for moderation

Example: Sports Integrity NZ implemented an AI-driven sentiment analysis tool to help categorize feedback and reduce manual data processing time.

Without automation, teams must manually sift through responses, which can lead to delays and missed insights. AI-powered sentiment analysis would:
✅ Speed up data analysis and highlight key trends
✅ Ensure fairer decision-making by identifying sentiment patterns
✅ Support moderation efforts by flagging inappropriate responses

Do you think sentiment analysis would improve your consultation process? Let us know your thoughts or submit your own idea!