Social Buzz Heatmap: Harnessing AI for Real-Time Trend Analysis
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The Social Buzz Heatmap is an automated workflow that captures social media conversations, processes them using AI, and visualizes trending topics in real-time. It's designed to provide immediate insights into what the public is talking about.
About This Workflow
Unlock the power of social media conversations with the Social Buzz Heatmap. This sophisticated n8n workflow leverages cutting-edge AI to ingest, analyze, and visualize trending topics from the digital sphere. By establishing a webhook endpoint, it seamlessly captures incoming social data. This data is then meticulously chunked and processed through advanced embeddings to understand context and sentiment. The insights are stored in a vector database for efficient querying. An AI agent, powered by a language model and conversational memory, interprets these trends, and the results are logged to a Google Sheet, creating a dynamic heatmap of public discourse.
Key Features
- Real-time Data Ingestion: Capture social media buzz as it happens via a webhook.
- AI-Powered Analysis: Utilize advanced AI for understanding context and identifying trends.
- Vector Database Integration: Store and query social data efficiently for deep insights.
- Dynamic Trend Visualization: Uncover and track emerging topics effortlessly.
- Automated Logging: Log all trend data to a Google Sheet for easy access and further analysis.
How To Use
- Webhook Setup: Configure the
Webhooknode to receive incoming social media data. Ensure your external system sends data to this endpoint. - Data Processing: The
Splitternode breaks down incoming text into manageable chunks, andEmbeddingsconverts this text into numerical representations. - Vector Store Insertion: The
Insertnode, utilizingvectorStoreSupabase, stores these embeddings in a Supabase vector database for efficient retrieval. - AI Querying: The
Querynode retrieves relevant information from the vector store based on incoming requests. - Agent Configuration: The
Toolnode connects the vector store to theAgent. Configure theMemoryandChatnodes to define how the AI agent understands context and interacts. - Output Logging: The
Sheetnode logs the analyzed trends to a Google Sheet. Ensure you have configured your Google Sheets credentials and provided the correctSHEET_IDandsheetName. - Credential Management: Set up your OpenAI API credentials for embeddings and your HuggingFace API credentials for the language model.
Apps Used
Workflow JSON
{
"id": "ed7cc50c-b356-428c-8c3a-c1f12bf2455f",
"name": "Social Buzz Heatmap: Harnessing AI for Real-Time Trend Analysis",
"nodes": 14,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: ed7cc50c-b356...
About the Author
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Connecting CRM, Notion, and Slack to automate your life.
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