Spam Classifier

Spam Classification component by Edgee provides real-time, ML-powered text classification through a high-performance Naive Bayes classifier optimized for edge deployment.

Key Features

• Real-Time Classification: Instant spam detection with configurable thresholds
• Edge Performance: Optimized WASM deployment for fast response times
• FST-Based Model: Efficient Finite State Transducer storage for minimal memory footprint
• Advanced Text Processing: Unicode-aware tokenization with stemming and normalization
• Configurable Sensitivity: Adjustable spam thresholds and smoothing parameters
• JSON API: RESTful endpoint with detailed classification results

Primary Use Cases

• Content Moderation: Automatically filter spam content in user-generated text
• Email Security: Real-time email spam detection and filtering
• Comment Systems: Protect forums and social platforms from spam messages
• Analytics Enhancement: Improve data quality by filtering out spam interactions
• User Experience: Reduce user exposure to unwanted spam content

Key Benefits

• Enhanced Security: Proactive spam protection at the edge
• Improved Performance: No external API calls or backend dependencies required
• Cost Effective: Efficient WASM execution reduces computational overhead
• Compliance Ready: Helps maintain content quality standards
• Developer Friendly: Simple JSON API with comprehensive response data