P

Peace Bert

Developed by BenjaminOcampo
This model is a BERT-architecture optimized implicit hate speech detector, specifically trained and fine-tuned for English implicit hate speech.
Downloads 26
Release Time : 7/30/2024

Model Overview

This model is used to detect implicit hate speech in English, with a particular focus on identifying covert hate content on social media and online platforms.

Model Features

Implicit hate speech detection
Specifically optimized for more covert implicit hate speech rather than overt hate expressions.
Trained on ISHate dataset
Trained using a specialized dataset focused on implicit hate speech, enhancing the model's ability to recognize such content.
Balanced performance
Optimized through metrics like F1 score and accuracy to achieve a balance between detection accuracy and comprehensiveness.

Model Capabilities

Text classification
Hate speech detection
Implicit content identification

Use Cases

Content moderation
Social media content moderation
Automatically identify implicit hate speech on social media platforms
Improve content moderation efficiency and reduce manual review workload
Academic research
Hate speech research
Used to analyze linguistic features and propagation patterns of implicit hate speech
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