Toxicity in Tweets using a BERT model

• ToLD-Br

  1 34 2.6 Jupyter Notebook

  Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

The dataset is based on ToLD-Br, which is a huge dataset of tweets (or is it Xeets now?) that contains some additional info such as a classification if the text contains homophobia, obscenity, insults, racism, misogyny and xenophobia. The dataset for the competition, however, is a simple toxicity column.

• toldbr-bert-text-classification-pt-br

  1 0 4.7 Python

And that's it! If you want to check it out and train/test this model yourself, feel free to check the code in my GitHub repository!

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