Social media sentiment analysis dashboard with custom AI for Twitter, Reddit & LinkedIn

Social Media Sentiment Analysis Dashboard with AI and Real-time Monitoring

🎯 Target Audience

• Social media managers and community managers
• Marketing teams monitoring brand reputation
• PR professionals tracking public sentiment
• Customer service teams identifying trending issues
• Business analysts measuring social media ROI
• Brand managers protecting brand reputation
• Product managers gathering user feedback

🚀 Problem Statement

Manual social media monitoring is overwhelming and often misses critical sentiment shifts or trending topics. This template solves the challenge of automatically collecting, analyzing, and visualizing social media sentiment data across multiple platforms to provide actionable insights for brand management and customer engagement.

🔧 How it Works

This workflow automatically monitors social media platforms using AI-powered sentiment analysis, processes mentions and conversations, and provides real-time insights through a comprehensive dashboard.

Key Components

1. Scheduled Trigger - Runs the workflow at specified intervals to maintain real-time monitoring
2. AI-Powered Sentiment Analysis - Uses advanced NLP to analyze sentiment, emotions, and topics
3. Multi-Platform Integration - Monitors Twitter, Reddit, and other social platforms
4. Real-time Alerting - Sends notifications for critical sentiment changes or viral content
5. Dashboard Integration - Stores all data in Google Sheets for comprehensive analysis and reporting

📊 Google Sheets Column Specifications

The template creates the following columns in your Google Sheets:

Column	Data Type	Description	Example
timestamp	DateTime	When the mention was recorded	"2024-01-15T10:30:00Z"
platform	String	Social media platform	"Twitter"
username	String	User who posted the content	"@john_doe"
content	String	Full text of the post/comment	"Love the new product features!"
sentiment_score	Number	Sentiment score (-1 to 1)	0.85
sentiment_label	String	Sentiment classification	"Positive"
emotion	String	Primary emotion detected	"Joy"
topics	Array	Key topics identified	["product", "features"]
engagement	Number	Likes, shares, comments	1250
reach_estimate	Number	Estimated reach	50000
influence_score	Number	User influence metric	0.75
alert_priority	String	Alert priority level	"High"

🛠️ Setup Instructions

Estimated setup time: 20-25 minutes

Prerequisites

• n8n instance with community nodes enabled
• ScrapeGraphAI API account and credentials
• Google Sheets account with API access
• Slack workspace for notifications (optional)
• Social media API access (Twitter, Reddit, etc.)

Step-by-Step Configuration

1. Install Community Nodes

# Install required community nodes
npm install n8n-nodes-scrapegraphai
npm install n8n-nodes-slack

2. Configure ScrapeGraphAI Credentials

• Navigate to Credentials in your n8n instance
• Add new ScrapeGraphAI API credentials
• Enter your API key from ScrapeGraphAI dashboard
• Test the connection to ensure it's working

3. Set up Google Sheets Connection

• Add Google Sheets OAuth2 credentials
• Grant necessary permissions for spreadsheet access
• Create a new spreadsheet for sentiment analysis data
• Configure the sheet name (default: "Sentiment Analysis")

4. Configure Social Media Monitoring

• Update the websiteUrl parameters in ScrapeGraphAI nodes
• Add URLs for social media platforms you want to monitor
• Customize the user prompt to extract specific sentiment data
• Set up keywords, hashtags, and brand mentions to track

5. Set up Notification Channels

• Configure Slack webhook or API credentials
• Set up email service credentials for alerts
• Define sentiment thresholds for different alert levels
• Test notification delivery

6. Configure Schedule Trigger

• Set monitoring frequency (every 15 minutes, hourly, etc.)
• Choose appropriate time zones for your business hours
• Consider social media platform rate limits

7. Test and Validate

• Run the workflow manually to verify all connections
• Check Google Sheets for proper data formatting
• Test sentiment analysis with sample content

🔄 Workflow Customization Options

Modify Monitoring Targets

• Add or remove social media platforms
• Change keywords, hashtags, or brand mentions
• Adjust monitoring frequency based on platform activity

Extend Sentiment Analysis

• Add more sophisticated emotion detection
• Implement topic clustering and trend analysis
• Include influencer identification and scoring

Customize Alert System

• Set different thresholds for different sentiment levels
• Create tiered alert systems (info, warning, critical)
• Add sentiment trend analysis and predictions

Output Customization

• Add data visualization and reporting features
• Implement sentiment trend charts and graphs
• Create executive dashboards with key metrics
• Add competitor sentiment comparison

📈 Use Cases

• Brand Reputation Management: Monitor and respond to brand mentions
• Crisis Management: Detect and respond to negative sentiment quickly
• Customer Feedback Analysis: Understand customer satisfaction and pain points
• Product Launch Monitoring: Track sentiment around new product releases
• Competitor Analysis: Monitor competitor sentiment and engagement
• Influencer Identification: Find and engage with influential users

🚨 Important Notes

• Respect social media platforms' terms of service and rate limits
• Implement appropriate delays between requests to avoid rate limiting
• Regularly review and update your monitoring keywords and parameters
• Monitor API usage to manage costs effectively
• Keep your credentials secure and rotate them regularly
• Consider privacy implications and data protection regulations

🔧 Troubleshooting

Common Issues:

• ScrapeGraphAI connection errors: Verify API key and account status
• Google Sheets permission errors: Check OAuth2 scope and permissions
• Sentiment analysis errors: Review the Code node's JavaScript logic
• Rate limiting: Adjust monitoring frequency and implement delays
• Alert delivery failures: Check notification service credentials

Support Resources:

• ScrapeGraphAI documentation and API reference
• n8n community forums for workflow assistance
• Google Sheets API documentation for advanced configurations
• Social media platform API documentation
• Sentiment analysis best practices and guidelines