|
--- |
|
language: es |
|
widget: |
|
- text: "Hoy me contrataron!" |
|
--- |
|
|
|
# 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: |
|
|
|
``` |
|
@inproceedings{tonneau-etal-2022-multilingual, |
|
title = "Multilingual Detection of Personal Employment Status on {T}witter", |
|
author = "Tonneau, Manuel and |
|
Adjodah, Dhaval and |
|
Palotti, Joao and |
|
Grinberg, Nir and |
|
Fraiberger, Samuel", |
|
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", |
|
month = may, |
|
year = "2022", |
|
address = "Dublin, Ireland", |
|
publisher = "Association for Computational Linguistics", |
|
url = "https://aclanthology.org/2022.acl-long.453", |
|
doi = "10.18653/v1/2022.acl-long.453", |
|
pages = "6564--6587", |
|
} |
|
``` |
