Automate Sentiment Analysis with n8n, Hugging Face & Jira

Transform customer feedback into actionable insights with this powerful n8n workflow that automatically analyzes text sentiment using Hugging Face AI, organizes results in Google Sheets, and creates Jira tickets for negative feedback—all without manual intervention.

What This Workflow Does

This intelligent automation receives text feedback through a webhook endpoint and processes each input through Hugging Face's sentiment analysis model. The workflow evaluates sentiment scores and classifies feedback as Positive, Neutral, or Negative based on confidence thresholds and score validation logic. Positive feedback gets stored in a dedicated Google Sheets tab, neutral responses go to another tab, while negative feedback not only gets logged but automatically generates Jira tickets for immediate team attention and issue resolution.

Perfect Use Cases

• Customer Support Teams: Automatically prioritize negative customer feedback by creating instant Jira tickets while tracking all sentiment trends in organized Google Sheets
• Product Management: Monitor user feedback sentiment across features and releases, with negative comments escalated directly to your development workflow
• Marketing Analytics: Analyze campaign responses and social media mentions, routing negative sentiment for immediate damage control
• SaaS Operations: Process user reviews, support tickets, and survey responses with automatic escalation of dissatisfied customers

Technical Implementation

Built using essential n8n nodes including Webhook for data ingestion, HTTP Request for Hugging Face API integration, Switch nodes for sentiment routing, Set nodes for data transformation, and Merge nodes for workflow control. The automation seamlessly connects with Google Sheets for data storage and Jira for ticket creation, requiring only your Hugging Face API token and credential setup.

Ready to deploy in minutes—simply import the workflow, configure your webhook endpoint at /sentiment-input, set up your three Google Sheets tabs (Positive, Neutral, Negative), add your API credentials, and start sending POST requests with text data. Your sentiment analysis pipeline will be running automatically, saving hours of manual processing while ensuring no negative feedback goes unaddressed.