Create README.md
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README.md
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---
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language: pt # <-- my language
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widget:
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- text: "Preciso de um emprego"
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---
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# Detection of employment status disclosures on Twitter
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## Model main characteristics:
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- class: Job Search (1), else (0)
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- country: BR
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- language: Portuguese
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- architecture: BERT base
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## Model description
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This model is a version of `neuralmind/bert-base-portuguese-cased` finetuned to recognize Portuguese tweets mentioning that the user is currently looking for a job. It was trained on Portuguese tweets from users based in Brazil. The task is framed as a binary classification problem with:
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- the positive class referring to tweets mentioning that the user is looking for a job (label=1)
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- the negative class referring to all other tweets (label=0)
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## Resources
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The dataset of Portuguese tweets on which this classifier was trained is open-sourced [here](https://github.com/manueltonneau/twitter-unemployment).
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Details on the performance can be found in our [ACL 2022 paper](https://arxiv.org/abs/2203.09178).
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## Citation
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If you find this model useful, please cite our paper (citation to come soon).
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