---
license: mit
language:
- en
base_model:
- NLP-LTU/bertweet-large-sexism-detector
pipeline_tag: text-classification
---
# Target-Group Classifier

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The BERT-based target-demographic classifier is finetuned on the combined dataset of [CONAN](https://github.com/marcoguerini/CONAN) and [CrowdCounter](https://github.com/hate-alert/crowdcounter) for classifying whether a sequence is about one or multiple of the 8 target group, based on the sexism detector [NLP-LTU/bertweet-large-sexism-detector](https://huggingface.co/NLP-LTU/bertweet-large-sexism-detector)

Currently trained for the following classes:
["MIGRANTS", "POC", "LGBT+", "MUSLIMS", "WOMEN", "JEWS", "other", "DISABLED"]

## Uses

<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
The model is intended for classifying LM-generated dialogue responses, and evaluating their relevancy to the given input sequence.