YouTube Comment Sentiment Analysis with Gemini AI & Sheets

This n8n workflow collects comments from a specified YouTube video, handling pagination to fetch all available comments. It then uses Google Gemini AI to analyze each comment's sentiment, determining if it's Positive, Neutral, or Negative, along with strength and confidence scores. Results are automatically saved to a Google Sheet, enabling easy tracking, reporting, and visualization.

Key benefits include AI-powered accuracy for sentiment categorization, real-time audience feedback for YouTube creators and marketers, automatic handling of large comment volumes, and no-code setup requiring only a video ID and API keys. It supports multi-language analysis, avoids duplicate processing via loop and update logic, and is modular for expansions like toxic comment detection or replies classification.

Ideal use cases: Monitor viewer reactions to videos or campaigns, identify trends in audience perception, integrate with dashboards for reporting, and adapt for other platforms like TikTok. Perfect for content creators, social media managers, and brands seeking actionable insights without manual effort.