LABEL_0 LABEL_1 LABEL_10 LABEL_11 LABEL_2 LABEL_3 LABEL_4 LABEL_5 LABEL_6 LABEL_7 LABEL_8 LABEL_9
---
language: 
  - nl
license: mit
---

# 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](https://huggingface.co/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