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).
600 free requests / day
Larger batches GBP0.80 / CPU hour

Use this pipeline

Single documents

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:

https://cloud-api.gate.ac.uk/process-document/hyperpartisan

Create API Key

Batches of documents

You can process any amount of data with this pipeline on a pay-as-you-go basis, for GBP0.80 per hour. This can be data you upload yourself, data you collected from Twitter, or the results of a previous job.

Reserve a job