This n8n workflow automates the process of analyzing customer reviews for sentiment, integrating Google Sheets and OpenAI’s language models. When a new review is added to a Google Sheet, the workflow triggers, sending the review text to an OpenAI sentiment analysis node. The sentiment result is then used to update the original review entry in the Google Sheet, providing real-time insights into customer feedback.

The workflow begins with a Google Sheets trigger that polls for new reviews every minute. Once a new review is detected, it passes through the Sentiment Analysis node that uses OpenAI’s GPT-4 model to determine whether the review is positive, negative, or neutral. The sentiment outcome is then written back into the same Google Sheet alongside the original review, updating the existing row.

Practical use cases include monitoring customer satisfaction in eCommerce, gathering real-time feedback for products, or automating sentiment tracking for review management. This workflow offers a hands-free, scalable way to analyze textual data and improve decision-making based on customer sentiment insights.

Node Count	6 – 10 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.sentimentAnalysis, googleSheets, googleSheetsTrigger, stickyNote