{
  "workflow": {
    "id": 10762,
    "name": "Multi-channel customer sentiment tracker with real-time analytics and alerting",
    "views": 93,
    "recentViews": 0,
    "totalViews": 93,
    "createdAt": "2025-11-12T15:10:36.307Z",
    "description": "## How It Works\nScheduled processes retrieve customer feedback from multiple channels. The system performs sentiment analysis to classify tone, then uses OpenAI models to extract themes, topics, and urgency indicators. All processed results are stored in a centralized database for trend tracking. Automated rules identify high-risk or negative sentiment items and trigger alerts to the relevant teams. Dashboards and workflow automation then visualize insights and support follow-up actions.\n\n## Setup Instructions\n1. **Data Sources:** Connect social media APIs, survey tools, and customer support platforms.\n2. **AI Analysis:** Configure the OpenAI API with sentiment and theme-extraction prompts.\n3. **Database:** Set up a feedback storage schema in your utility database.\n4. **Alerts:** Configure email notifications and CRM triggers for priority issues.\n5. **Dashboards:** Link your analytics and reporting tools for real-time insights.\n\n\n## Prerequisites\nSocial media/survey API credentials; OpenAI API key; database access; CRM system credentials; email notification setup\n\n## Use Cases\nCustomer sentiment tracking; product feedback aggregation; support ticket prioritization; brand monitoring; trend identification\n\n## Customization\nAdjust sentiment thresholds; add new feedback sources; modify categorization rules \n\n## Benefits\nReduces analysis time 85%; captures actionable insights; enables rapid response to issues \n\n",
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      "name": "Multi-Channel Customer Sentiment Tracker with Real-Time Analytics and Alerting",
      "tags": [],
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            "inputText": "={{ $json.feedbackText }}"
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                  "type": "string",
                  "value": "={{ $('Sentiment Analysis - Positive/Neutral/Negative').item.json.sentiment }}"
                },
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            },
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            },
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                "emotions": "={{ $json.emotions }}",
                "entities": "={{ $json.entities }}",
                "metadata": "={{ $json.metadata }}",
                "sentiment": "={{ $json.sentiment }}",
                "timestamp": "={{ $json.timestamp }}",
                "customer_id": "={{ $json.customer_id }}",
                "feedback_id": "={{ $json.feedback_id }}",
                "feedback_text": "={{ $json.feedback_text }}",
                "sentiment_score": "={{ $json.sentiment_score }}"
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          ],
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            "jsCode": "// Calculate sentiment trends from aggregated feedback data\n// Compute rolling averages, detect spikes, and calculate sentiment distribution\n\nconst items = $input.all();\n\n// Initialize results object\nconst results = {\n  sentimentDistribution: {},\n  rollingAverages: [],\n  spikes: [],\n  trendsBySource: {},\n  trendsByTimePeriod: {}\n};\n\n// Helper function to calculate sentiment score\nfunction getSentimentScore(sentiment) {\n  const scores = {\n    'positive': 1,\n    'neutral': 0,\n    'negative': -1\n  };\n  return scores[sentiment?.toLowerCase()] || 0;\n}\n\n// Process each item\nconst dataPoints = [];\nfor (const item of items) {\n  const data = item.json;\n  const sentimentScore = getSentimentScore(data.sentiment);\n  \n  dataPoints.push({\n    timestamp: data.timestamp || data.created_at || new Date().toISOString(),\n    sentiment: data.sentiment,\n    score: sentimentScore,\n    source: data.source || 'unknown',\n    entity: data.entity || 'general'\n  });\n}\n\n// Sort by timestamp\ndataPoints.sort((a, b) => new Date(a.timestamp) - new Date(b.timestamp));\n\n// Calculate sentiment distribution\nconst distribution = { positive: 0, neutral: 0, negative: 0 };\nfor (const point of dataPoints) {\n  const sentiment = point.sentiment?.toLowerCase();\n  if (distribution.hasOwnProperty(sentiment)) {\n    distribution[sentiment]++;\n  }\n}\nresults.sentimentDistribution = distribution;\n\n// Calculate rolling averages (7-day window)\nconst windowSize = 7;\nfor (let i = 0; i < dataPoints.length; i++) {\n  const windowStart = Math.max(0, i - windowSize + 1);\n  const window = dataPoints.slice(windowStart, i + 1);\n  const avgScore = window.reduce((sum, p) => sum + p.score, 0) / window.length;\n  \n  results.rollingAverages.push({\n    timestamp: dataPoints[i].timestamp,\n    averageScore: avgScore,\n    windowSize: window.length\n  });\n}\n\n// Detect spikes (significant deviations from rolling average)\nconst spikeThreshold = 0.3;\nfor (let i = windowSize; i < dataPoints.length; i++) {\n  const currentScore = dataPoints[i].score;\n  const avgScore = results.rollingAverages[i].averageScore;\n  const deviation = Math.abs(currentScore - avgScore);\n  \n  if (deviation > spikeThreshold) {\n    results.spikes.push({\n      timestamp: dataPoints[i].timestamp,\n      sentiment: dataPoints[i].sentiment,\n      score: currentScore,\n      averageScore: avgScore,\n      deviation: deviation,\n      source: dataPoints[i].source\n    });\n  }\n}\n\n// Calculate trends by source\nconst sourceGroups = {};\nfor (const point of dataPoints) {\n  if (!sourceGroups[point.source]) {\n    sourceGroups[point.source] = [];\n  }\n  sourceGroups[point.source].push(point.score);\n}\n\nfor (const [source, scores] of Object.entries(sourceGroups)) {\n  const avgScore = scores.reduce((sum, s) => sum + s, 0) / scores.length;\n  results.trendsBySource[source] = {\n    averageScore: avgScore,\n    count: scores.length,\n    positiveRate: scores.filter(s => s > 0).length / scores.length,\n    negativeRate: scores.filter(s => s < 0).length / scores.length\n  };\n}\n\n// Calculate trends by time period (daily)\nconst periodGroups = {};\nfor (const point of dataPoints) {\n  const date = new Date(point.timestamp).toISOString().split('T')[0];\n  if (!periodGroups[date]) {\n    periodGroups[date] = [];\n  }\n  periodGroups[date].push(point.score);\n}\n\nfor (const [date, scores] of Object.entries(periodGroups)) {\n  const avgScore = scores.reduce((sum, s) => sum + s, 0) / scores.length;\n  results.trendsByTimePeriod[date] = {\n    averageScore: avgScore,\n    count: scores.length,\n    positiveCount: scores.filter(s => s > 0).length,\n    neutralCount: scores.filter(s => s === 0).length,\n    negativeCount: scores.filter(s => s < 0).length\n  };\n}\n\n// Return results\nreturn [{ json: results }];"
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          "parameters": {
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            "aggregate": "aggregateAllItemData",
            "destinationFieldName": "aggregatedData"
          },
          "typeVersion": 1
        },
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          "name": "Check for Negative Spike",
          "type": "n8n-nodes-base.if",
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            "conditions": {
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                "leftValue": "",
                "caseSensitive": false,
                "typeValidation": "loose"
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              "combinator": "and",
              "conditions": [
                {
                  "id": "id-1",
                  "operator": {
                    "type": "number",
                    "operation": "gt"
                  },
                  "leftValue": "={{ $('Aggregate by Entity and Time Period').item.json.negativeSentimentPercentage }}",
                  "rightValue": "={{ $('Workflow Configuration').first().json.negativeSpikeThreshold }}"
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          "typeVersion": 2.2
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          "name": "Check for Sudden Sentiment Shift",
          "type": "n8n-nodes-base.if",
          "position": [
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            "conditions": {
              "options": {
                "leftValue": "",
                "caseSensitive": false,
                "typeValidation": "loose"
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              "combinator": "and",
              "conditions": [
                {
                  "id": "id-1",
                  "operator": {
                    "type": "number",
                    "operation": "gt"
                  },
                  "leftValue": "={{ $('Aggregate by Entity and Time Period').item.json.sentimentShift }}",
                  "rightValue": "={{ $('Workflow Configuration').first().json.sentimentShiftThreshold }}"
                }
              ]
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          "typeVersion": 2.2
        },
        {
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          "name": "Send Alert to Slack",
          "type": "n8n-nodes-base.slack",
          "position": [
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          ],
          "webhookId": "dba03042-e2fa-4036-a318-270e64d02182",
          "parameters": {
            "text": "=🚨 **Sentiment Alert Detected**\n\n**Alert Type:** {{ $json.alertType || 'Sentiment Anomaly' }}\n**Entity Affected:** {{ $json.entity || 'N/A' }}\n**Current Sentiment Score:** {{ $json.sentimentScore || 'N/A' }}\n**Time Period:** {{ $json.timePeriod || 'N/A' }}\n**Threshold Exceeded:** {{ $json.thresholdExceeded || 'N/A' }}\n\nPlease review the dashboard for more details.",
            "select": "channel",
            "channelId": {
              "__rl": true,
              "mode": "id",
              "value": "<__PLACEHOLDER_VALUE__Slack channel ID or name__>"
            },
            "otherOptions": {},
            "authentication": "oAuth2"
          },
          "credentials": {
            "slackOAuth2Api": {
              "id": "credential-id",
              "name": "slackOAuth2Api Credential"
            }
          },
          "typeVersion": 2.3
        },
        {
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          "name": "Send Alert Email",
          "type": "n8n-nodes-base.emailSend",
          "position": [
            2960,
            432
          ],
          "webhookId": "cf1d6f96-1727-4ad4-b4f3-bbf6b7d71627",
          "parameters": {
            "html": "=<h2>Customer Sentiment Alert</h2>\n<p><strong>Alert Type:</strong> {{ $json.alertType }}</p>\n<p><strong>Timestamp:</strong> {{ $json.timestamp }}</p>\n\n<h3>Sentiment Metrics</h3>\n<ul>\n  <li><strong>Current Sentiment Score:</strong> {{ $json.sentimentScore }}</li>\n  <li><strong>Sentiment Trend:</strong> {{ $json.sentimentTrend }}</li>\n  <li><strong>Negative Feedback Count:</strong> {{ $json.negativeFeedbackCount }}</li>\n  <li><strong>Change Rate:</strong> {{ $json.changeRate }}%</li>\n</ul>\n\n<h3>Affected Entities</h3>\n<p>{{ $json.affectedEntities }}</p>\n\n<h3>Top Issues</h3>\n<p>{{ $json.topIssues }}</p>\n\n<p>Please review the dashboard for detailed analysis and take appropriate action.</p>\n\n<p><em>This alert was generated automatically by the Customer Sentiment Tracking System.</em></p>",
            "options": {
              "appendAttribution": true
            },
            "subject": "=Customer Sentiment Alert: {{ $json.alertType }}",
            "toEmail": "<__PLACEHOLDER_VALUE__Alert recipient email addresses__>",
            "fromEmail": "<__PLACEHOLDER_VALUE__Sender email address__>"
          },
          "typeVersion": 2.1
        },
        {
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          "name": "Update Dashboard - Google Sheets",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
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          "parameters": {
            "columns": {
              "value": {
                "entity": "={{ $json.entity }}",
                "timestamp": "={{ $json.timestamp }}",
                "feedback_count": "={{ $json.feedback_count }}",
                "sentiment_score": "={{ $json.sentiment_score }}",
                "trend_direction": "={{ $json.trend_direction }}",
                "sentiment_distribution": "={{ $json.sentiment_distribution }}"
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                {
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              "value": "Sentiment Dashboard"
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              "__rl": true,
              "mode": "id",
              "value": "<__PLACEHOLDER_VALUE__Google Sheets document ID__>"
            }
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              "name": "googleSheetsOAuth2Api Credential"
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          "name": "Sync to CRM System",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
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          "parameters": {
            "url": "={{ $('Workflow Configuration').first().json.crmApiUrl }}",
            "method": "POST",
            "options": {},
            "sendBody": true,
            "sendHeaders": true,
            "bodyParameters": {
              "parameters": [
                {
                  "name": "customer_id",
                  "value": "={{ $json.customer_id }}"
                },
                {
                  "name": "sentiment",
                  "value": "={{ $json.sentiment }}"
                },
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                  "value": "={{ $json.feedback_summary }}"
                }
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                {
                  "name": "Content-Type",
                  "value": "application/json"
                },
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                  "name": "Authorization",
                  "value": "={{ $('Workflow Configuration').first().json.crmApiKey }}"
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          "type": "n8n-nodes-base.httpRequest",
          "position": [
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            "url": "={{ $('Workflow Configuration').first().json.marketingApiUrl }}",
            "method": "POST",
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            "bodyParameters": {
              "parameters": [
                {
                  "name": "customer_id",
                  "value": "={{ $json.customer_id }}"
                },
                {
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                  "value": "={{ $json.sentiment }}"
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                }
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                  "name": "Content-Type",
                  "value": "application/json"
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        {
          "id": "b81a1f63-dcf5-4d79-882c-6a61222ca9e7",
          "name": "Generate Insights Report",
          "type": "n8n-nodes-base.code",
          "position": [
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          ],
          "parameters": {
            "jsCode": "// Generate Comprehensive Insights Report\nconst items = $input.all();\n\nif (!items || items.length === 0) {\n  return [{ json: { error: 'No data available for insights generation' } }];\n}\n\n// Initialize data structures for analysis\nconst sentimentCounts = { positive: 0, neutral: 0, negative: 0 };\nconst entitySentiments = {};\nconst emotionCounts = {};\nconst timeSeriesData = {};\n\n// Process all items\nitems.forEach(item => {\n  const data = item.json;\n  \n  // Count sentiments\n  if (data.sentiment) {\n    const sentiment = data.sentiment.toLowerCase();\n    if (sentimentCounts[sentiment] !== undefined) {\n      sentimentCounts[sentiment]++;\n    }\n  }\n  \n  // Track entity sentiments\n  if (data.entity && data.sentiment) {\n    if (!entitySentiments[data.entity]) {\n      entitySentiments[data.entity] = { positive: 0, neutral: 0, negative: 0, total: 0 };\n    }\n    const sentiment = data.sentiment.toLowerCase();\n    if (entitySentiments[data.entity][sentiment] !== undefined) {\n      entitySentiments[data.entity][sentiment]++;\n    }\n    entitySentiments[data.entity].total++;\n  }\n  \n  // Track emotions\n  if (data.emotion) {\n    emotionCounts[data.emotion] = (emotionCounts[data.emotion] || 0) + 1;\n  }\n  \n  // Track time series (by date)\n  if (data.timestamp || data.date) {\n    const date = new Date(data.timestamp || data.date).toISOString().split('T')[0];\n    if (!timeSeriesData[date]) {\n      timeSeriesData[date] = { positive: 0, neutral: 0, negative: 0, total: 0 };\n    }\n    const sentiment = (data.sentiment || '').toLowerCase();\n    if (timeSeriesData[date][sentiment] !== undefined) {\n      timeSeriesData[date][sentiment]++;\n    }\n    timeSeriesData[date].total++;\n  }\n});\n\n// Calculate top positive entities\nconst topPositiveEntities = Object.entries(entitySentiments)\n  .map(([entity, sentiments]) => ({\n    entity,\n    positiveCount: sentiments.positive,\n    positivePercentage: ((sentiments.positive / sentiments.total) * 100).toFixed(2),\n    totalMentions: sentiments.total\n  }))\n  .sort((a, b) => b.positiveCount - a.positiveCount)\n  .slice(0, 10);\n\n// Calculate top negative entities\nconst topNegativeEntities = Object.entries(entitySentiments)\n  .map(([entity, sentiments]) => ({\n    entity,\n    negativeCount: sentiments.negative,\n    negativePercentage: ((sentiments.negative / sentiments.total) * 100).toFixed(2),\n    totalMentions: sentiments.total\n  }))\n  .sort((a, b) => b.negativeCount - a.negativeCount)\n  .slice(0, 10);\n\n// Calculate overall sentiment distribution\nconst totalFeedback = items.length;\nconst sentimentDistribution = {\n  positive: {\n    count: sentimentCounts.positive,\n    percentage: ((sentimentCounts.positive / totalFeedback) * 100).toFixed(2)\n  },\n  neutral: {\n    count: sentimentCounts.neutral,\n    percentage: ((sentimentCounts.neutral / totalFeedback) * 100).toFixed(2)\n  },\n  negative: {\n    count: sentimentCounts.negative,\n    percentage: ((sentimentCounts.negative / totalFeedback) * 100).toFixed(2)\n  }\n};\n\n// Top emotions\nconst topEmotions = Object.entries(emotionCounts)\n  .map(([emotion, count]) => ({\n    emotion,\n    count,\n    percentage: ((count / totalFeedback) * 100).toFixed(2)\n  }))\n  .sort((a, b) => b.count - a.count)\n  .slice(0, 5);\n\n// Sentiment trends over time\nconst sentimentTrends = Object.entries(timeSeriesData)\n  .map(([date, sentiments]) => ({\n    date,\n    positive: sentiments.positive,\n    neutral: sentiments.neutral,\n    negative: sentiments.negative,\n    total: sentiments.total,\n    sentimentScore: ((sentiments.positive - sentiments.negative) / sentiments.total * 100).toFixed(2)\n  }))\n  .sort((a, b) => new Date(a.date) - new Date(b.date));\n\n// Generate actionable recommendations\nconst recommendations = [];\n\n// Recommendation based on negative sentiment\nif (sentimentDistribution.negative.percentage > 30) {\n  recommendations.push({\n    priority: 'HIGH',\n    category: 'Sentiment Alert',\n    recommendation: `Negative sentiment is at ${sentimentDistribution.negative.percentage}%. Immediate action required to address customer concerns.`,\n    action: 'Review top negative entities and create action plan to address issues'\n  });\n}\n\n// Recommendations for top negative entities\nif (topNegativeEntities.length > 0 && topNegativeEntities[0].negativePercentage > 50) {\n  recommendations.push({\n    priority: 'HIGH',\n    category: 'Entity Focus',\n    recommendation: `Entity \"${topNegativeEntities[0].entity}\" has ${topNegativeEntities[0].negativePercentage}% negative sentiment.`,\n    action: `Investigate issues related to ${topNegativeEntities[0].entity} and implement corrective measures`\n  });\n}\n\n// Positive reinforcement recommendation\nif (topPositiveEntities.length > 0 && topPositiveEntities[0].positivePercentage > 70) {\n  recommendations.push({\n    priority: 'MEDIUM',\n    category: 'Success Story',\n    recommendation: `Entity \"${topPositiveEntities[0].entity}\" has ${topPositiveEntities[0].positivePercentage}% positive sentiment.`,\n    action: `Leverage success of ${topPositiveEntities[0].entity} in marketing and replicate best practices`\n  });\n}\n\n// Emotion-based recommendation\nif (topEmotions.length > 0 && ['anger', 'frustration', 'disappointment'].includes(topEmotions[0].emotion.toLowerCase())) {\n  recommendations.push({\n    priority: 'HIGH',\n    category: 'Emotional Response',\n    recommendation: `Top emotion detected is \"${topEmotions[0].emotion}\" (${topEmotions[0].percentage}%).`,\n    action: 'Prioritize customer support and proactive outreach to address emotional concerns'\n  });\n}\n\n// Trend-based recommendation\nif (sentimentTrends.length >= 2) {\n  const recentTrend = sentimentTrends.slice(-3);\n  const avgRecentScore = recentTrend.reduce((sum, t) => sum + parseFloat(t.sentimentScore), 0) / recentTrend.length;\n  \n  if (avgRecentScore < -10) {\n    recommendations.push({\n      priority: 'HIGH',\n      category: 'Trend Alert',\n      recommendation: `Recent sentiment trend is declining (avg score: ${avgRecentScore.toFixed(2)}).`,\n      action: 'Analyze recent changes in product/service and address emerging issues quickly'\n    });\n  } else if (avgRecentScore > 20) {\n    recommendations.push({\n      priority: 'LOW',\n      category: 'Positive Trend',\n      recommendation: `Recent sentiment trend is improving (avg score: ${avgRecentScore.toFixed(2)}).`,\n      action: 'Continue current strategies and document successful practices'\n    });\n  }\n}\n\n// General recommendation if no specific issues\nif (recommendations.length === 0) {\n  recommendations.push({\n    priority: 'LOW',\n    category: 'Maintenance',\n    recommendation: 'Sentiment levels are stable. Continue monitoring for changes.',\n    action: 'Maintain current customer engagement strategies and monitor trends'\n  });\n}\n\n// Compile comprehensive report\nconst insightsReport = {\n  reportGeneratedAt: new Date().toISOString(),\n  summary: {\n    totalFeedbackAnalyzed: totalFeedback,\n    reportingPeriod: sentimentTrends.length > 0 ? {\n      startDate: sentimentTrends[0].date,\n      endDate: sentimentTrends[sentimentTrends.length - 1].date\n    } : null,\n    overallSentimentScore: ((sentimentCounts.positive - sentimentCounts.negative) / totalFeedback * 100).toFixed(2)\n  },\n  sentimentDistribution,\n  topPositiveEntities,\n  topNegativeEntities,\n  topEmotions,\n  sentimentTrends,\n  recommendations,\n  keyInsights: [\n    `${sentimentDistribution.positive.percentage}% of feedback is positive`,\n    `${sentimentDistribution.negative.percentage}% of feedback is negative`,\n    topPositiveEntities.length > 0 ? `Best performing entity: ${topPositiveEntities[0].entity}` : 'No entity data available',\n    topNegativeEntities.length > 0 ? `Needs attention: ${topNegativeEntities[0].entity}` : 'No negative entities identified',\n    topEmotions.length > 0 ? `Most common emotion: ${topEmotions[0].emotion}` : 'No emotion data available'\n  ]\n};\n\nreturn [{ json: insightsReport }];"
          },
          "typeVersion": 2
        },
        {
          "id": "4b6eb559-8ebd-4a7b-a360-42fd9a5a77e6",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            464,
            -16
          ],
          "parameters": {
            "color": 6,
            "width": 464,
            "height": 208,
            "content": "## Prerequisites\nSocial media/survey API credentials; OpenAI API key; database access; CRM system credentials; email notification setup\n\n## Use Cases\nCustomer sentiment tracking; product feedback aggregation; support ticket prioritization; brand monitoring; trend identification"
          },
          "typeVersion": 1
        },
        {
          "id": "3067a3c7-6d2d-44b1-9eee-b8d389673206",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -32,
            -16
          ],
          "parameters": {
            "width": 448,
            "height": 288,
            "content": "## Setup Instructions\n1. **Data Sources:** Connect social media APIs, survey tools, and customer support platforms.\n2. **AI Analysis:** Configure the OpenAI API with sentiment and theme-extraction prompts.\n3. **Database:** Set up a feedback storage schema in your utility database.\n4. **Alerts:** Configure email notifications and CRM triggers for priority issues.\n5. **Dashboards:** Link your analytics and reporting tools for real-time insights.\n"
          },
          "typeVersion": 1
        },
        {
          "id": "525eda6d-8ab2-4f81-8ba0-f2b710663da8",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -480,
            -16
          ],
          "parameters": {
            "width": 400,
            "height": 272,
            "content": "## How It Works\nScheduled processes retrieve customer feedback from multiple channels. The system performs sentiment analysis to classify tone, then uses OpenAI models to extract themes, topics, and urgency indicators. All processed results are stored in a centralized database for trend tracking. Automated rules identify high-risk or negative sentiment items and trigger alerts to the relevant teams. Dashboards and workflow automation then visualize insights and support follow-up actions.\n"
          },
          "typeVersion": 1
        },
        {
          "id": "079a1521-c017-4968-8376-67672927ea69",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            960,
            -16
          ],
          "parameters": {
            "color": 3,
            "width": 672,
            "content": "## Customization\nAdjust sentiment thresholds; add new feedback sources; modify categorization rules \n\n## Benefits\nReduces analysis time 85%; captures actionable insights; enables rapid response to issues "
          },
          "typeVersion": 1
        },
        {
          "id": "5847bab2-1c95-464a-85b8-7f2af437c7d0",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -496,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 224,
            "height": 464,
            "content": "## Schedule Feedback Cycle\n\nRuns on a set cadence to pull feedback from all channels.\n**Why:** Prevents gaps and surfaces issues early."
          },
          "typeVersion": 1
        },
        {
          "id": "82322b1b-311a-477a-a424-994a913925bb",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -240,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 416,
            "height": 912,
            "content": "## Fetch Social Posts\n\nCollects mentions, reviews, and comments across major platforms.\n**Why:** Captures real-time, unfiltered sentiment."
          },
          "typeVersion": 1
        },
        {
          "id": "e3d1ec93-b11e-4cad-82ce-e66d168ffb0e",
          "name": "Sticky Note6",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            192,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 192,
            "height": 464,
            "content": "## Aggregate Support Tickets\n\nPulls tickets and resolution notes from helpdesk tools.\n**Why:** Reveals recurring pain points hidden in isolated cases."
          },
          "typeVersion": 1
        },
        {
          "id": "c43d9db3-36dc-4c18-96ae-934381948ae1",
          "name": "Sticky Note7",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            400,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 320,
            "height": 464,
            "content": "## Parse Product Reviews\n\nCollects ratings and comments from app stores and review sites.\n**Why:** Public reviews influence perception and expose product gaps.\n"
          },
          "typeVersion": 1
        },
        {
          "id": "336a8ef7-b8c7-4dca-bdf1-b501ba34cfd8",
          "name": "Sticky Note8",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            736,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 624,
            "height": 544,
            "content": "## Analyze Sentiment\n\nClassifies tone across channels with context-aware NLP.\n**Why:** Normalized scoring avoids misreading sarcasm or subtle complaints.\n"
          },
          "typeVersion": 1
        },
        {
          "id": "215a39fc-ca17-4aea-aafe-0d657ad51cfb",
          "name": "Sticky Note9",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1376,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 336,
            "height": 560,
            "content": "\n## Extract Themes & Topics Sync\n\nIdentifies key subjects: pricing, bugs, features, onboarding, service.\n**Why:** Turns raw sentiment into actionable themes.\n"
          },
          "typeVersion": 1
        },
        {
          "id": "2a23e4b0-3c79-4c8e-b459-31075bd1b82f",
          "name": "Sticky Note10",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2160,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 416,
            "height": 336,
            "content": "## Identify Sentiment Trends\n\nTracks mood shifts over time.\n**Why:** Spot brewing issues before churn rises."
          },
          "typeVersion": 1
        },
        {
          "id": "05ebc093-6721-44f3-b1a5-f9f3a0c8ea0c",
          "name": "Sticky Note11",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2592,
            96
          ],
          "parameters": {
            "color": 5,
            "height": 640,
            "content": "## Detect Emerging Issues\n\nFlags sudden spikes or new themes.\n**Why:** Early warning for multi-channel problems.\n\n"
          },
          "typeVersion": 1
        },
        {
          "id": "d426dcdc-887a-46c0-a984-429decf29ca7",
          "name": "Sticky Note12",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1728,
            288
          ],
          "parameters": {
            "color": 5,
            "width": 416,
            "height": 752,
            "content": "## Intelligent Feedback Routing\n\nAutomatically directs each feedback type to the right team:\nWhy: Critical issues can happen and need to identify the trends\n"
          },
          "typeVersion": 1
        },
        {
          "id": "2bc42ebc-ad8e-4fd8-96fd-132151db9300",
          "name": "Sticky Note13",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
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          "parameters": {
            "color": 5,
            "width": 272,
            "height": 944,
            "content": "## Insights & Reporting\n\nCentralized feedback intelligence:\nWhy: To  detect sentiment and follow-up with actions\n"
          },
          "typeVersion": 1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
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      "versionId": "e471c3d6-927a-4add-88ee-9b7814ae1792",
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          "main": [
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                "node": "Sentiment Analysis - Positive/Neutral/Negative",
                "type": "main",
                "index": 0
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            ]
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        },
        "Fetch Email Feedback": {
          "main": [
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                "type": "main",
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              },
              {
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                "type": "main",
                "index": 0
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                "index": 0
              },
              {
                "node": "Fetch Chat Transcripts",
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                "index": 0
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                "index": 0
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            ]
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        "Azure OpenAI Chat Model": {
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                "type": "ai_languageModel",
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                "index": 0
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            ]
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                "node": "Store Feedback in Database",
                "type": "main",
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                "index": 0
              },
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            ]
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                "index": 0
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            ]
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                "index": 0
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                "index": 0
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            ]
          ]
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                "node": "Calculate Sentiment Trends",
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                "index": 0
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            ]
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                "index": 0
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                "index": 0
              },
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                "type": "main",
                "index": 0
              }
            ]
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                "index": 0
              },
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                "type": "main",
                "index": 0
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            "name": "Core Nodes"
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        "icon": "fa:map-signs",
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              "Filter",
              "Condition",
              "Logic",
              "Boolean",
              "Branch"
            ],
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                  "icon": "☀️",
                  "label": "2021: The Year to Automate the New You with n8n"
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                {
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                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
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                {
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                  "icon": "🤬",
                  "label": "Create a toxic language detector for Telegram in 4 step"
                },
                {
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                },
                {
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                {
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                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
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              "Wait"
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                  "label": "How to synchronize data between two systems (one-way vs. two-way sync"
                },
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                  "label": "Love at first sight: Ricardo’s n8n journey"
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                  "icon": "😍",
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                {
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                  "icon": "📡",
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                {
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                {
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                {
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              "credentialDocumentation": [
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        },
        "displayName": "Slack",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
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        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1236,
        "icon": "file:aggregate.svg",
        "name": "n8n-nodes-base.aggregate",
        "codex": {
          "data": {
            "alias": [
              "Aggregate",
              "Combine",
              "Flatten",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.aggregate/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Aggregate"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Aggregate",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1250,
        "icon": "file:openAi.svg",
        "name": "@n8n/n8n-nodes-langchain.openAi",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "ChatGPT",
              "Sora",
              "DallE",
              "whisper",
              "audio",
              "transcribe",
              "tts",
              "assistant"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Miscellaneous",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI"
        },
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            "name": "AI"
          },
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            "id": 26,
            "name": "Langchain"
          }
        ]
      },
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        "id": 1253,
        "icon": "file:azure.svg",
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                "Root Nodes"
              ],
              "Language Models": [
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              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
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        },
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            "subcategories": {
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    "image": []
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}