Hyperpartisan scorer
This service attempts to classify whether a text is hyper-partisan or not. Our approach, using an ensemble of trained neural networks, is described in a blogpost. Our approach was an entrant in the Sem Eval 2019 Hyperpartisan News Detection Task, where we achieved 82.2% accuracy, winning first prize!
Default annotations | |
:hyperpartisan | Annotation spanning the whole text with the feature "hyperpartisan_probability" (a decimal fraction between 0 and 1). |
Use this pipeline
You can process up to 600 documents per day free of charge using the REST API, at an average rate of 2 documents/sec. Higher quotas are available for research users by arrangement, contact us for details.
The API endpoint for this pipeline is: