VACMA-PUBLIC

This page contains some files related to the VACMA project that might be relevant for other projects. More information about the VACMA-prosject can be found here.

For an updated version of the anonymisation scripts used in the JMIR-article below. Please refer to https://github.com/digitalepidemiologylab/covid-twitter-bert.

The following articles is related to the work done in the project.

@article{kummervold2021categorising,
title={Categorising Vaccine Confidence with Transformer-Based Machine Learning Model: The Nuances of Vaccine Sentiment within Twitter Discourse},
author={Kummervold P, Martin S, Dada S, Kilich E, Denny C, Paterson P, Larson HJ},
journal={JMIR Medical Informatics. 19/07/2021:29584 (forthcoming/in press)},
year={2021}
}

@article{muller2020covid,
  title={Covid-twitter-bert: A natural language processing model to analyse covid-19 content on twitter},
  author={M{\"u}ller, Martin and Salath{\'e}, Marcel and Kummervold, Per E},
  journal={arXiv preprint arXiv:2005.07503},
  year={2020}
}

Funding

This project has received funding from the European Commission for the call H2020-MSCA-IF-2017 and the funding scheme MSCA-IF-EF-ST for the VACMA project (grant agreement ID: 797876).