Toxic Comment Classification

It predicts toxic comments on 3 Jigsaw challenges: Toxic comment classification, Unintended Bias in Toxic comments, Multilingual toxic comment classification.

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Model Details

The AI model that you have developed is designed to detect various types of toxic comments and texts in online communication. Specifically, the model is trained to recognize the following classes of toxicity: toxicity, severe toxicity, obscene, threat, insult, identity attack, and sexual explicit.

The toxicity class refers to any comment or text containing language considered offensive or hurtful towards others. This can include insults, slurs, or other derogatory languages.

The severe toxicity class refers to comments or texts that contain particularly harmful or abusive language. These comments are often directed towards a specific individual or group and can be highly damaging.

The obscene class refers to comments or texts that contain explicit or graphic content, such as sexual or violent language.

The threat class refers to comments or texts that contain language that implies a threat of physical harm or violence towards others.

The insult class refers to comments or texts that contain language that is meant to be insulting or hurtful towards others.

The identity attack class refers to comments or texts that contain language that is aimed at attacking a person's identity, such as their race, religion, or sexual orientation.

Finally, the sexual explicit class refers to comments or texts that contain sexually explicit language or content.

Overall, your AI model is a powerful tool for identifying and flagging toxic comments and texts in online communication. This technology has the potential to improve the safety and inclusivity of online spaces, helping to prevent harmful behavior and promote healthy discourse.

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