Block 1 - Sentiment Analysis
- Type / Role
- @n8n/n8n-nodes-langchain.sentimentAnalysis - sentimentAnalysis
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Sentiment Analysis of Product Reviews using Google Sheets & OpenAI Quick Implementation Steps Automated customer feedback analyzer : Trigger : Google Sheets triggers on new product review row...
@n8n/n8n-nodes-langchain.sentimentanalysis, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.googlesheetstrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by WeblineIndia.
Original n8n.io sourceAutomated customer feedback analyzer:
Just connect your credentials and sheet — you're ready to go!
This workflow automatically analyzes user-submitted product reviews and classifies them by sentiment using OpenAI’s powerful language models. It eliminates the need to manually sift through feedback by tagging each review with a sentiment score.
The sentiment result is then written back to the Google Sheet next to the original review, enabling you to get a fast, clear snapshot of overall customer perception, satisfaction and pain points. Whether you're monitoring 10 or 10,000 reviews, this process scales effortlessly and updates every minute.
This workflow is designed for:
You’ll need:
Review and SentimentSentiment Analysis nodeOpenAI Chat Model nodeSentiment column in the same row.Sticky Notes included for better visual understanding inside the workflow editor.
Make sure your sheet is named Sheet1 with the following structure:
| Review | Sentiment |
|---|---|
| Absolutely love it! | |
| Not worth the price. |
OpenAI API credential in n8n...and many more applications wherever text feedback is collected.
| Issue | Possible Cause | Suggested Fix |
|---|---|---|
| Sentiment not updating | Sheet credentials missing or misconfigured | Reconnect Google Sheets OAuth2 |
| Blank sentiment | Review column empty or misaligned | Ensure proper column header & value present |
| OpenAI errors | Invalid or expired API key | Regenerate API Key from OpenAI and re-auth |
| Workflow doesn’t run | Polling settings incorrect | Confirm interval & document ID in trigger node |
If you need assistance for
👉 Contact us today at WeblineIndia. We will be happy to assist.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Sentiment analysis of product reviews using Google Sheets & OpenAI |
|---|---|
| Complexity | intermediate |
| Nodes | 6 |
| Categories | Market Research, AI Summarization |
| Author | WeblineIndia |
| Published | 31 Jul 2025 |
Use the JSON export at /data/workflows/6739/6739.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Sentiment Analysis of Product Reviews using Google Sheets & OpenAI Quick Implementation Steps Automated customer feedback analyzer : Trigger : Google Sheets triggers on new product review row...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.