Player Sentiment Dashboard Automation

This n8n workflow creates an automated system for capturing, analyzing, and storing player sentiment data to facilitate game feedback and community insights. It begins with a webhook trigger that receives player input, which is then processed through text splitting and embedding generation. The embeddings are stored in a vector database (Supabase), providing fast similarity searches for sentiment analysis. The workflow also includes querying the database to retrieve relevant data, performing natural language processing with language models (via Anthropic), and logging the outputs into Google Sheets for record-keeping. This setup is ideal for gaming companies or community managers seeking to monitor and analyze player sentiment in real-time, enabling proactive engagement and data-driven decisions.