Automated tweet sentiment analysis and storage in Strapi

• Automate sentiment analysis of tweets for marketing insights
• Store user-generated content and feedback in a centralized system
• Monitor social media engagement for brand reputation management

Fetch tweets containing specific keywords every 30 minutes Simplify tweet data to extract relevant information Analyze sentiment of tweets and form submissions using Google Cloud Natural Language Store positive sentiment results in Strapi for easy access and management

1. 1
   Import the workflow template into your n8n instance
2. 2
   Configure the Twitter and Strapi credentials
3. 3
   Set up the webhook to receive form submissions
4. 4
   Adjust the search parameters for tweets as needed
5. 5
   Activate the workflow to start automated processing