rafaelgreca/TFG
Comparação de algoritmos de aprendizado profundo na classificação de comentários contendo discurso de ódio na internet.
This project helps identify and categorize online comments that contain hate speech. It takes raw text comments as input and outputs a classification indicating whether the comment contains hate speech, using deep learning models. This is useful for content moderators, social media platform managers, or researchers studying online toxicity.
No commits in the last 6 months.
Use this if you need to automatically detect and flag hate speech in large volumes of online text.
Not ideal if you require a system for real-time, high-stakes moderation without any human oversight or further model training.
Stars
8
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 08, 2021
Commits (30d)
0
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