Sentiment Analysis of Product Reviews using Google Sheets & OpenAI
Automates sentiment analysis of new product reviews from Google Sheets using OpenAI, classifying them as Positive, Neutral, or Negative and writing results back to the sheet for instant insights.
This workflow triggers on new rows added to a Google Sheet containing product reviews. It extracts the review text and sends it to OpenAI's language model (via LangChain's Sentiment Analysis node) to classify the sentiment accurately. The result—Positive, Neutral, or Negative—is then appended back to the original sheet alongside the review, providing a real-time snapshot of customer feedback.
Ideal for e-commerce, product, marketing, and support teams, it scales effortlessly from 10 to 10,000 reviews, updating every minute without manual intervention. By automating analysis, it saves hours of sifting through feedback, highlights pain points, identifies promotable positives, and enables data-driven decisions on customer satisfaction.
Requirements include a Google Sheet with 'Review' and 'Sentiment' columns, Google Sheets OAuth2 credentials, and an OpenAI API key. Perfect for SaaS platforms, apps, or survey tools handling structured text feedback in travel, logistics, or any review-heavy business.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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