---
base_model:
- dbmdz/bert-base-turkish-uncased
language:
- tr
library_name: transformers
license: cc-by-4.0
pipeline_tag: text-classification
---
# Model Card for AntiMisogynyTurk 

<!-- Provide a quick summary of what the model is/does. -->

This model is created by fine-tuning the famous BERTurk model that was already pretrained to work 
on Turkish language. Here, it is fine-tuned to detect hate and prejudice against women from Turkish texts.

The model is fine-tuned using social media posts.
<!-- Provide a longer summary of what this model is. -->



- **Developed by:** Dr. Ulya BAYRAM
- **Model type:** Classification
- **License:** Creative Commons
- **Finetuned from model:** BERTurk

## How to Get Started with the Model

Use the code below to get started with the model.

[More Information Needed]


## Training Data

To train this model, a private data collection scraped from social media, and then manually labeled by experts is used. 

The dataset is available to researchers per demand with the conditions of using it only for research purposes and not sharing it with others.


## Model Source and Citation

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

When using this model for your research, please cite the following paper, which is the source of the model:

**Paper:** Paper submitted, coming soon

**BibTeX:**

Paper submitted, coming soon

**APA:**

Paper submitted, coming soon