joaoaleite/ToLD-Br
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
This project provides a unique dataset of Brazilian Portuguese tweets, specifically annotated for different types of toxic language. It helps researchers, social media analysts, or content moderators study and identify harmful content in online discussions. The dataset contains tweets labeled by humans, allowing for the development and testing of automated tools to detect toxicity.
No commits in the last 6 months.
Use this if you need high-quality, pre-labeled data to train or evaluate systems that detect toxic language in Brazilian Portuguese social media content.
Not ideal if your primary goal is to analyze non-Portuguese content or if you need a real-time content moderation solution out-of-the-box without further development.
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Last pushed
Feb 22, 2025
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