{ "workflow": { "id": 3936, "name": "YouTube comment sentiment analysis with Google Gemini AI and Google Sheets", "views": 659, "recentViews": 0, "totalViews": 659, "createdAt": "2025-05-08T09:43:30.770Z", "description": "This workflow automatically **collects all comments from a specified YouTube video and analyzes the sentiment of each comment using an AI model** (e.g., GPT, Claude or Gemini). The sentiment (*Positive, Neutral, or Negative*), its strength, and confidence score are extracted and saved into a connected **Google Sheet** for easy access, reporting, and visualization.\n\n---\n\n### **Advantages:**\n\n**🧠 AI-Powered Sentiment Analysis**\n\n * Uses modern language models (LLMs) to categorize comments with high accuracy.\n\n**πŸ“Ί Ideal for YouTube Creators & Marketers**\n\n * Provides insights into audience perception of videos, campaigns, or products.\n\n**πŸ“ˆ Real-Time Feedback Monitoring**\n\n * Quickly identify trends in viewer sentiment across large comment volumes.\n\n**πŸ“Š Automatic Reporting**\n\n * Saves results in Google Sheets for easy sharing or dashboard integration.\n\n**πŸ” Handles Pagination**\n\n * Automatically fetches all comments, even from multi-page videos.\n\n**βš™οΈ No-Code Customization**\n\n * Easily adaptable to other platforms (e.g., TikTok, Instagram) or data sources.\n\n**πŸ“₯ Simple Setup**\n\n * Requires just a YouTube video ID and API key β€” no coding needed.\n\n**πŸ” Loop and Update Logic**\n\n * Continuously updates sheet with new results, avoiding duplicate processing.\n\n**🧩 Modular Design**\n\n * Easy to expand (e.g., reply classification, toxic comment detection, translation).\n\n**πŸ’¬ Multi-Language Compatibility**\n\n* AI can be configured to analyze comments in different languages with minimal setup.\n\n![image](https://i.postimg.cc/JnBZ10mD/youtube-sentiment.png)\n\n--- \n\n### **How It Works** \n1. **Trigger**: The workflow starts manually (\"When clicking β€˜Test workflow’\") or can be scheduled. \n2. **Fetch Comments**: The \"Get API Comments\" node retrieves comments from a YouTube video using the YouTube API. \n3. **Process Comments**: \n - Extracts comments and replies via the \"Comments\" node. \n - Splits them into individual entries (\"Split comments\"). \n - Saves raw comments to Google Sheets (\"Save comments\"). \n4. **Sentiment Analysis**: \n - Uses **Google Gemini AI** (or another model) to classify each comment as **Positive, Neutral, or Negative**. \n - Captures **strength** and **confidence** metrics for deeper insights. \n5. **Update Results**: The \"Update sentiment\" node writes the analysis back to Google Sheets, marking processed rows. \n6. **Pagination Handling**: Checks for multiple pages of comments (\"Multipage?\") and loops until all are processed. \n\n---\n\n\n### **Set Up Steps** \n1. **Prepare Google Sheet**: \n - Clone the template: [YouTube Comments Sheet](https://docs.google.com/spreadsheets/d/14lAY5CjoYHqqFODiLGg636Gqw4JwWqb2CX10E8ZS6Uo/edit). \n - Ensure columns exist: `VIDEO_ID`, `COMMENTS`, `SENTIMENT`, `STRENGTH`, `CONFIDENCE`, and `DO` (tracking column). \n\n2. **Configure YouTube API**: \n - Obtain a **YouTube API key** from [Google Developers Console](https://developers.google.com/youtube/registering_an_application). \n - Add it to the \"Get API Comments\" node under **Youtube Query Auth** (parameter: `key`). \n\n3. **Set Video ID**: \n - Replace the default `xxxxxxxx` in the \"ID Video\" node with your target YouTube video ID. \n\n4. **AI Integration**: \n - Ensure **Google Gemini API** credentials are configured in the \"Google Gemini\" node. \n\n5. **Run the Workflow**: \n - Test manually or automate execution (e.g., hourly/daily) to analyze new comments. \n\n**Output**: A Google Sheet with categorized sentiments, enabling **trend analysis and audience engagement tracking**. \n\n\n--- \n\n### **Need help customizing?** \n[Contact me](mailto:info@n3w.it) for consulting and support or add me on [Linkedin](https://www.linkedin.com/in/davideboizza/). \n", "workflow": { "id": "SFcUKSlMqxy2Mp1m", "meta": { "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462", "templateCredsSetupCompleted": true }, "name": "Analyzes YouTube comments using AI to detect sentiment automatically", "tags": [], "nodes": [ { "id": "511187aa-886f-47ac-852c-265a57c5d258", "name": "When clicking β€˜Test workflow’", 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