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Da Hatespeech Detection Base
D
Da Hatespeech Detection Base
Developed by alexandrainst
A hate speech detection model based on Danish BERT, used to identify offensive content in Danish text.
Downloads 109
Release Time : 3/2/2022
Model Overview
This model is based on the BotXO pre-trained Danish BERT model, fine-tuned for social media data, specifically designed to detect hate speech and offensive language in Danish text.
Model Features
Danish Language Specialization
A hate speech detection model specifically optimized for Danish text.
Social Media Optimization
The model is fine-tuned for social media data, making it suitable for processing informal online language.
BERT Architecture
Utilizes BERT's powerful contextual understanding capabilities for text classification.
Model Capabilities
Danish text classification
Hate speech detection
Offensive language recognition
Use Cases
Content Moderation
Social Media Content Filtering
Automatically identify and filter hate speech and offensive content on social media platforms.
Improves platform content quality and reduces the spread of harmful information
Online Community Management
Helps community administrators quickly identify and handle inappropriate comments.
Reduces the burden of manual review and improves processing efficiency
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