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brema76/vaccine_topic_it
vaccine_topic_it is a text classification model from brema76. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
<strongClassifier of topic discussed in vaccine-related content in Italian language</strong</br A monolingual model for classifying the topic discussed in vaccine-related content in Italian language. The model was tra…
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From the Hugging Face model README
<strong>Classifier of topic discussed in vaccine-related content in Italian language</strong></br> A monolingual model for classifying the topic discussed in vaccine-related content in Italian language. The model was trained on 36,722 and independently tested on 9,299 social media content between Facebook posts, Twitter tweets, Instagram media and YouTube videos. It is a fine-tuned version of bert-base-multilingual-cased.
<strong>Model output</strong></br> The model classifies each input into one of six distinct classes:</br>
<ul> <li>Administration of vaccines</li> <li>Vaccine business</li> <li>Effectiveness of vaccination</li> <li>Legal issues</li> <li>Safety concerns</li> <li>Other</li> </ul><strong>Citation info and BibTeX entry</strong></br>
<a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0316258" target="_blank">Dynamics and triggers of misinformation on vaccines</a>
@article{Bru2025,
title={Dynamics and triggers of misinformation on vaccines},
author={Brugnoli, Emanuele and Delmastro, Marco},
journal={PLOS ONE},
year={2025},
volume={20},
number={1},
pages={e0316258},
doi={10.1371/journal.pone.0316258}
}