|
--- |
|
language: en |
|
widget: |
|
- text: "Job hunting!" |
|
--- |
|
|
|
# Detection of employment status disclosures on Twitter |
|
|
|
## Model main characteristics: |
|
- class: Job Search (1), else (0) |
|
- country: US |
|
- language: English |
|
- architecture: BERT base |
|
|
|
## Model description |
|
This model is a version of `DeepPavlov/bert-base-cased-conversational` finetuned to recognize English tweets where a user mentions that she is currently looking for a job. It was trained on English tweets from US-based users. The task is framed as a binary classification problem with: |
|
- the positive class referring to tweets mentioning that a user is currently looking for a job (label=1) |
|
- the negative class referring to all other tweets (label=0) |
|
|
|
## Resources |
|
|
|
The dataset of English 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). |