JensBender/hate-speech-detection
🛡️ BERT-based hate speech detector for social media. Fine-tuned on the Ethos dataset, outperforming RNN/LSTM. Deployment via Web App and API.
This tool helps social media moderators and community managers automatically identify hate speech in online comments. It takes in social media text (like YouTube or Reddit comments) and tells you if the text contains hate speech. The system uses advanced AI to make these classifications, helping you maintain a safer online environment.
Use this if you need to efficiently screen large volumes of user-generated text for insulting public speech targeting specific groups based on characteristics like race, religion, or gender.
Not ideal if you require 100% accuracy for sensitive legal or ethical applications without human oversight, as automated systems can still make errors.
Stars
16
Forks
10
Language
PureBasic
License
MIT
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/JensBender/hate-speech-detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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