This workflow automates the process of analyzing YouTube comments for sentiment using AI, providing valuable insights into viewer feedback. It starts with a manual trigger to initiate the process, then fetches comments from a Google Sheet or YouTube API. The comments are split and processed one by one through an AI language model (Google Gemini) to detect the sentiment (positive, negative, neutral). The sentiment results are then updated back into Google Sheets for record-keeping and further analysis. This workflow is useful for content creators, marketers, or data analysts aiming to understand audience sentiment on YouTube videos, enabling data-driven decision making and strategic planning.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.sentimentAnalysis, code, googleSheets, httpRequest, if, manualTrigger, quickChart, set, splitInBatches, splitOut, stickyNote