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hate_speech_targets_nl
IMSyPP/hate_speech_targets_nl
hate_speech_targets_nl is a text classification model from IMSyPP. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
A monolingual model for hate speech target classification of social media content in Dutch. The model was trained on 20000 social media posts (youtube, twitter, facebook) and tested on an independent test set of 2000…
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- distilbert
- Access
- Public
- Created
- May 16, 2022
- Updated
- May 16, 2022
- SHA
- 1df0dbd0
Model card
From the Hugging Face model README
Hate Speech Target Classifier for Social Media Content in Dutch
A monolingual model for hate speech target classification of social media content in Dutch. The model was trained on 20000 social media posts (youtube, twitter, facebook) and tested on an independent test set of 2000 posts. It is based on the pre-trained language model distilbert-base-multilingual-cased.
Tokenizer
During training the text was preprocessed using the Distilbert tokenizer. We suggest the same tokenizer is used for inference.
Model output
The model classifies each input into one of four distinct classes:
- 0 - HOMOPHOBIA
- 1 - OTHER
- 2 - RELIGION
- 3 - ANTISEMITISM
- 4 - IDEOLOGY
- 5 - MIGRANTS
- 6 - POLITICS
- 7 - RACISM
- 8 - MEDIA
- 9 - ISLAMOPHOBIA
- 10 - INDIVIDUAL
- 11 - SEXISM
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- mit
- Languages
- nl
- Created
- May 16, 2022
- Updated
- May 16, 2022