Toxic Language Classifier
This classifier is a fine-tuned Roberta-base model using the simpletransformers toolkit. We use the Kaggle Toxic Comments Challenge dataset as training data. This dataset contains Wikipedia comments classified as toxic or non-toxic.
|:ToxicLanguage||an annotation which spans the entire document and has the following features:
Use this pipeline
You can process up to 1,200 documents per day free of charge using the REST API, at an average rate of 2 documents/sec. Higher quotas are available for research users by arrangement, contact us for details.
The API endpoint for this pipeline is:
You can process any amount of data with this pipeline on a pay-as-you-go basis, for GBP0.80 per hour. This can be data you upload yourself, data you collected from Twitter, or the results of a previous job.