This workflow follows the Emailreadimap → Emailsend recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Customer Sentiment Analysis with Multi-Source AI",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "feedback",
"responseMode": "responseNode",
"options": {}
},
"id": "sa1a2b3c-1111-2222-3333-444455556666",
"name": "Webhook Feedback",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
250,
200
]
},
{
"parameters": {
"mailbox": "feedback@yourcompany.com",
"options": {}
},
"id": "sa2b3c4d-2222-3333-4444-555566667777",
"name": "Email Trigger",
"type": "n8n-nodes-base.emailReadImap",
"typeVersion": 2,
"position": [
250,
400
]
},
{
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 6
}
]
}
},
"id": "sa3c4d5e-3333-4444-5555-666677778888",
"name": "Social Media Poll",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.1,
"position": [
250,
600
]
},
{
"parameters": {
"url": "https://api.twitter.com/2/search/recent",
"options": {}
},
"id": "sa4d5e6f-4444-5555-6666-777788889999",
"name": "Fetch Social Comments",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.1,
"position": [
480,
600
]
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "gpt-4",
"mode": "id"
},
"messages": {
"values": [
{
"content": "=Analyze this customer feedback and return JSON with:\n- sentiment_score (0-100, where 100 is most positive)\n- sentiment_label (positive, negative, neutral)\n- emotion (happy, angry, disappointed, excited, frustrated, neutral)\n- topic (product, support, pricing, delivery, other)\n- urgency_level (low, medium, high, critical)\n- key_issues (array of specific problems mentioned)\n- summary (one-line summary)\n\nFeedback: {{ $json.feedback || $json.body || $json.text }}\n\nReturn only JSON."
}
]
},
"options": {
"temperature": 0.3
}
},
"id": "sa5e6f7a-5555-6666-7777-888899990000",
"name": "AI Sentiment Analysis",
"type": "@n8n/n8n-nodes-langchain.openAi",
"typeVersion": 1.3,
"position": [
710,
400
]
},
{
"parameters": {
"conditions": {
"number": [
{
"value1": "={{ JSON.parse($json.message.content).sentiment_score }}",
"value2": 30,
"operation": "smaller"
}
]
}
},
"id": "sa6f7a8b-6666-7777-8888-999900001111",
"name": "Check Negative Sentiment",
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
940,
400
]
},
{
"parameters": {
"chatId": "YOUR_TELEGRAM_CHAT_ID",
"text": "=\ud83d\udea8 CRITICAL CUSTOMER FEEDBACK\n\nSentiment: {{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).sentiment_label }} (Score: {{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).sentiment_score }})\nEmotion: {{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).emotion }}\nTopic: {{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).topic }}\nUrgency: {{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).urgency_level }}\n\nSummary: {{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).summary }}\n\nKey Issues: {{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).key_issues.join(', ') }}\n\n\u26a1 Immediate action required!",
"additionalFields": {
"parse_mode": "Markdown"
}
},
"id": "sa7a8b9c-7777-8888-9999-000011112222",
"name": "Alert Manager",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.1,
"position": [
1170,
200
]
},
{
"parameters": {
"fromEmail": "support@yourcompany.com",
"toEmail": "={{ $json.customer_email || 'unknown@example.com' }}",
"subject": "=Thank you for your feedback",
"emailType": "text",
"message": "=Dear Customer,\n\nThank you for sharing your positive experience with us! We truly appreciate your feedback.\n\nYour input helps us continue to improve our products and services.\n\nBest regards,\nCustomer Experience Team",
"options": {}
},
"id": "sa8b9c0d-8888-9999-0000-111122223333",
"name": "Send Thank You Email",
"type": "n8n-nodes-base.emailSend",
"typeVersion": 2,
"position": [
1170,
600
]
},
{
"parameters": {
"operation": "append",
"documentId": {
"__rl": true,
"value": "YOUR_GOOGLE_SHEET_ID",
"mode": "id"
},
"sheetName": {
"__rl": true,
"value": "SentimentDashboard",
"mode": "name"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"timestamp": "={{ $now.toISO() }}",
"source": "={{ $node.name === 'Webhook Feedback' ? 'Web Form' : $node.name === 'Email Trigger' ? 'Email' : 'Social Media' }}",
"feedback": "={{ $json.feedback || $json.body || $json.text }}",
"sentiment_score": "={{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).sentiment_score }}",
"sentiment_label": "={{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).sentiment_label }}",
"emotion": "={{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).emotion }}",
"topic": "={{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).topic }}",
"urgency": "={{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).urgency_level }}",
"summary": "={{ JSON.parse($('AI Sentiment Analysis').item.json.message.content).summary }}",
"action_taken": "={{ $('Check Negative Sentiment').item.json ? 'Alert Sent' : $('Check Positive Sentiment').item.json ? 'Thank You Sent' : 'Logged Only' }}"
},
"schema": []
},
"options": {}
},
"id": "sa9c0d1e-9999-0000-1111-222233334444",
"name": "Save to Dashboard",
"type": "n8n-nodes-base.googleSheets",
"typeVersion": 4,
"position": [
1400,
400
]
},
{
"parameters": {
"conditions": {
"number": [
{
"value1": "={{ JSON.parse($json.message.content).sentiment_score }}",
"value2": 70,
"operation": "larger"
}
]
}
},
"id": "sa0d1e2f-0000-1111-2222-333344445555",
"name": "Check Positive Sentiment",
"type": "n8n-nodes-base.if",
"typeVersion": 1,
"position": [
1170,
400
]
}
],
"connections": {
"Webhook Feedback": {
"main": [
[
{
"node": "AI Sentiment Analysis",
"type": "main",
"index": 0
}
]
]
},
"Email Trigger": {
"main": [
[
{
"node": "AI Sentiment Analysis",
"type": "main",
"index": 0
}
]
]
},
"Social Media Poll": {
"main": [
[
{
"node": "Fetch Social Comments",
"type": "main",
"index": 0
}
]
]
},
"Fetch Social Comments": {
"main": [
[
{
"node": "AI Sentiment Analysis",
"type": "main",
"index": 0
}
]
]
},
"AI Sentiment Analysis": {
"main": [
[
{
"node": "Check Negative Sentiment",
"type": "main",
"index": 0
}
]
]
},
"Check Negative Sentiment": {
"main": [
[
{
"node": "Alert Manager",
"type": "main",
"index": 0
}
],
[
{
"node": "Check Positive Sentiment",
"type": "main",
"index": 0
}
]
]
},
"Check Positive Sentiment": {
"main": [
[
{
"node": "Send Thank You Email",
"type": "main",
"index": 0
}
],
[
{
"node": "Save to Dashboard",
"type": "main",
"index": 0
}
]
]
},
"Alert Manager": {
"main": [
[
{
"node": "Save to Dashboard",
"type": "main",
"index": 0
}
]
]
},
"Send Thank You Email": {
"main": [
[
{
"node": "Save to Dashboard",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
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About this workflow
Customer Sentiment Analysis with Multi-Source AI. Uses emailReadImap, httpRequest, openAi, telegram. Webhook trigger; 10 nodes.
Source: https://github.com/kooroosh1363/agentic-automation-lab/blob/main/07-sentiment-analysis/workflow.json — original creator credit. Request a take-down →
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