README.md

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language: es        # <-- my language
widget:
 - text: "Hoy me contrataron!"
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# Detection of employment status disclosures on Twitter 

## Model main characteristics:
- class: Is Hired (1), else (0)
- country: MX 
- language: Spanish
- architecture: BERT base

## Model description 
This model is a version of `dccuchile/bert-base-spanish-wwm-cased` finetuned to recognize Spanish tweets where a user mentions that she was hired in the past month. It was trained on Spanish tweets from users based in Mexico. The task is framed as a binary classification problem with:
- the positive class referring to tweets mentioning that a user was recently hired (label=1)
- the negative class referring to all other tweets (label=0)

## Resources

The dataset of Spanish tweets on which this classifier was trained is open-sourced [here](https://github.com/manueltonneau/twitter-unemployment).
Details on the performance can be found in our [ACL 2022 paper](https://arxiv.org/abs/2203.09178).

## Citation

If you find this model useful, please cite our paper (citation to come soon).