Reddit Sentiment Analysis with Deepseek AI
Automates fetching Reddit posts and comments for AI-powered sentiment analysis, detecting emotions, toxicity, and trends using Deepseek AI.
This n8n workflow leverages the Reddit API to collect recent posts and comments from specified subreddits, then applies Deepseek AI for comprehensive sentiment analysis. It categorizes content as positive, negative, or neutral with confidence scores, identifies emotional tones like excitement or frustration, and detects sarcasm or toxicity levels. Additional features include content categorization (e.g., complaints, praise), engagement quality assessment, and moderation recommendations with urgency levels.
Key benefits include batch processing for efficiency, structured JSON outputs for easy integration, and actionable insights that save time for manual review. It's ideal for scaling analysis without custom coding, providing reliable data for decision-making.
Use cases span community management to flag harmful content, brand monitoring to track opinions, market research for trend identification, and researcher tools for public sentiment studies. Whether moderating subreddits or analyzing consumer feedback, this workflow delivers high-value intelligence.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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