Hey everyone,
I made n8n-nodes-sentor, a community node that performs entity-level sentiment analysis and automatic topic clustering.
Instead of simple positive/negative scores, it identifies specific issues mentioned in the text (staff, pricing, delivery, quality, refunds, etc.) and groups them into meaningful topics.
It works with:
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Google Reviews
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Trustpilot
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Support tickets
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Surveys
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Any text data (CSV, JSON, etc.)
Here are a few screenshots from a real workflow:
The node is available on npm: https://www.npmjs.com/package/n8n-nodes-sentor
Would love to hear your feedback or ideas for improvements.
Thanks!