Forecasting COVID-19 caseloads using unsupervised embedding clusters of social media posts
We present a novel approach incorporating transformer-based language models into infectious disease modelling. Text-derived features are quantified by tracking high-density clusters of sentence-level representations of Reddit posts within specific US states’ COVID-19 subreddits. We benchmark these c...
| Автори: | , , |
|---|---|
| Формат: | Conference item |
| Мова: | English |
| Опубліковано: |
Association for Computational Linguistics
2022
|