Author's Sentiment Prediction

Understand

We introduce PerSenT, a dataset of crowd-sourced annotations of the sentiment expressed by the authors towards the main entities in news articles.

• The dataset also includes paragraph-level sentiment annotations to provide more fine-grained supervision for the task.
• Our benchmarks of multiple strong baselines show that this is a difficult classification task.
• The results also suggest that simply fine-tuning document-level representations from BERT isn't adequate for this task.