Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts (2022.naacl-main)
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| Challenge: | Existing studies have shown that social media can help predict rises in infectious disease caseloads. |
| Approach: | They propose to use transformer-based language models to integrate infectious disease modelling into reddit embedding features in reddits in specific US states. |
| Outcome: | The proposed model outperforms other features at predicting upward trend signals in areas where epidemiological data is unreliable. |
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