Gibberish Scanner
The Gibberish Scanner identifies and filters nonsensical or incoherent text inputs in English language content. It helps maintain input quality and protects against potential system disruptions caused by meaningless text.
Gibberish detection workflow using AutoNLP model
Warning: The model may occasionally flag valid text as gibberish. Consider adjusting the threshold or modifying the _gibberish_labels parameter if experiencing false positives.
Detection Criteria
Gibberish Categories
- Random word sequences
- Severe grammatical errors
- Syntactically incorrect text
- Logically incoherent content
- Meaningless character combinations
Use Cases
- Chatbot input validation
- Content moderation systems
- User feedback processing
- Automated support systems
- Data quality assurance
Configuration Options
- match_type: Analysis mode
- FULL: Complete text analysis
- SENTENCE: Sentence-by-sentence scanning
- threshold: Confidence threshold for gibberish detection
- model: madhurjindal/autonlp-Gibberish-Detector-492513457
Output Format
- sanitized_prompt: The analyzed text
- is_valid: Boolean indicating if text is coherent
- risk_score: Gibberish probability score (0-1)
Performance Metrics
- Optimized for English language text
- Fast processing for standard inputs
- Scalable to high-volume applications
- Configurable accuracy thresholds
Note: The scanner is primarily designed for English text. Consider implementing language-specific checks for multi-language applications.
Tip: Monitor and adjust the threshold based on your application's needs. Consider implementing a feedback loop to fine-tune detection accuracy over time.