Weakly supervised contrastive representation learning to encode narrative viewpoint of COVID-19 tweets
Fig 3
ViewpointNN vs. TopicNN performance with K = 5 of contrastive models and the two baselines.
We include performance for the following: three models trained on the active retweet network with different cut-off values of shortest path length (4, 3 and 2), four models trained with different pre-trained embeddings on the original network, and the best-performing model trained on the strong network. FT refers to fully fine-tuned models, and TA-FT refers to topic-aware models.