Weakly supervised contrastive representation learning to encode narrative viewpoint of COVID-19 tweets
Fig 4
Model performance in ViewpointNN and TopicNN at different values of k for topic-aware contrastive models trained with CT-BERT embeddings.
TA-FT refers to models leveraging both fine-tuned embeddings and static topic-aware embeddings. Models shown here are trained using the original, active, and strong retweet networks. (a) ViewpointNN. (b) TopicNN.