
# This version is trained on a smaller data set.
See the full-size version at [PoliBERTweet](https://huggingface.co/kornosk/polibertweet-mlm).

# Citation
```bibtex
@inproceedings{kawintiranon2022polibertweet,
  title     = {PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter},
  author    = {Kawintiranon, Kornraphop and Singh, Lisa},
  booktitle = {Proceedings of the Language Resources and Evaluation Conference},
  year      = {2022},
  publisher = {European Language Resources Association}
}
```
{"language": "en", "license": "gpl-3.0", "tags": ["twitter", "masked-token-prediction", "bertweet", "election2020", "politics"]}
transformers pytorch roberta fill-mask twitter masked-token-prediction bertweet election2020 politics en license:gpl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #fill-mask #twitter #masked-token-prediction #bertweet #election2020 #politics #en #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us 


# This version is trained on a smaller data set.
See the full-size version at PoliBERTweet.


# This version is trained on a smaller data set.
See the full-size version at PoliBERTweet.
TAGS
#transformers #pytorch #roberta #fill-mask #twitter #masked-token-prediction #bertweet #election2020 #politics #en #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
 # This version is trained on a smaller data set.
See the full-size version at PoliBERTweet.
passage: TAGS
#transformers #pytorch #roberta #fill-mask #twitter #masked-token-prediction #bertweet #election2020 #politics #en #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
# This version is trained on a smaller data set.
See the full-size version at PoliBERTweet.