Papers › Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT

Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT

20 Apr 2021arXiv:2104.09947archive 2025-07-28

Kristen Scott, Pieter Delobelle, Bettina Berendt

We classify seven months' worth of Belgian COVID-related Tweets using multilingual BERT and relate them to their governments' COVID measures. We classify Tweets by their stated opinion on Belgian government curfew measures (too strict, ok, too loose). We examine the change in topics discussed and views expressed over time and in reference to dates of related events such as implementation of new measures or COVID-19 related announcements in the media.

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Adam Attention Attention Dropout BERT Dense Connections Dropout Layer Normalization Linear Layer Linear Warmup With Linear Decay Multi-Head Attention Residual Connection Softmax Weight Decay WordPiece

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