Vaccine Media Analytics

Project Information

VACMA

Grant agreement ID: 797876

DOI

10.3030/797876

Project closed

EC signature date 28 March 2018

Start date 20 February 2019

End date 21 June 2022

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost

€ 170 121,60

EU contribution

€ 170 121,60

Coordinated by

FUNDACION PARA EL FOMENTO DE LA INVESTIGACION SANITARIA Y BIOMEDICA DE LA COMUNITAT VALENCIANA
Spain

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (2)

Categorizing Vaccine Confidence With a Transformer-Based Machine Learning Model: Analysis of Nuances of Vaccine Sentiment in Twitter Discourse

Author(s): Kummervold PE, Martin S, Dada S, Kilich E, Denny C, Paterson P, Larson HJ
Published in: JMIR Med Inform, Issue 2021;9(10):e29584, 2021, ISSN 2291-9694
Publisher: JMIR Medical Informatics
DOI: 10.2196/29584

Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: development and validation of a machine learning model.

Author(s): Cheatham, S., Kummervold, P.E., Parisi, L., Lanfranchi, B., Croci, I., Comunello, F., Filia, A., Rota, M.C., Tozzi, A.E., Rizzo, C. and Gesualdo, F.
Published in: Frontiers in Public Health, Issue 22962565, 2022, ISSN 2296-2565
Publisher: Frontiers in Public Health
DOI: 10.3389/fpubh.2022.948880

Other (1)

COVID-Twitter-BERT: A Natural Language Processing Model to Analyse COVID-19 Content on Twitter

Author(s): Müller, Martin; Salathé, Marcel; Kummervold, Per E
Published in: arXiv (In Press), Issue 2021 - PrePrint, 2020
Publisher: Cornell University
DOI: 10.48550/arxiv.2005.07503