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Profanity Model 3.1
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Profanity Model 3.1
Developed by parsawar
A profanity detection model trained on 200K text data points for identifying inappropriate language in text.
Downloads 1,120
Release Time : 6/21/2024
Model Overview
This model specializes in text profanity detection, efficiently identifying various forms of profanity and vulgar language, suitable for content moderation and social platform filtering.
Model Features
Large-scale training data
Trained on 200K text data points, covering multiple profanity and vulgar language scenarios.
Efficient detection
Capable of quickly and accurately identifying profanity in text, suitable for real-time filtering needs.
Multi-scenario applicability
Applicable to content moderation in various scenarios such as social platforms, forums, and chat applications.
Model Capabilities
Text classification
Profanity detection
Content filtering
Use Cases
Content moderation
Social platform profanity filtering
Automatically detects user-posted text content and filters out profanity and vulgar language.
Improves platform content quality and reduces inappropriate speech.
Forum comment moderation
Real-time moderation of forum comments, flagging or blocking content containing profanity.
Maintains forum order and reduces malicious comments.
Chat applications
Chat content filtering
Real-time detection and filtering of profanity in chat applications to protect users from inappropriate language.
Enhances user experience and fosters a healthy chat environment.
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