Transcriptor takes news audio content, transcribes it, then provides a means to view and edit the transcript alongside the original content.
Tagged with Machines do the heavy lifting, Semantic Technology, Speaker diarisation, Speech to text, World Service and International
ELMer is a prototype for automating external linking from BBC News stories.
Tagged with API, Automatic Tagging, Co-occurrence, Machines do the heavy lifting, Minimum Viable Prototype, Named Entity Recognition, News industry collaboration, News labs open projects, Semantic Technology, Structured Journalism, World Service and International, juicer
The Juicer takes news content, automatically tags it, then provides a fully featured API to access this content and data.
JUN 27 2016
An update on Text Analysis in the news
News Labs is working with UCL et al on identifying topics in the News, automatically. This is to support News recommendations, and to do the heavy lifting for Journalists
Tagged with Efficiency, Machines do the heavy lifting, Named Entity Recognition, Semantic Technology, Structured Data, Tagging
A linked data ontology to enable structured journalism and News storytelling at scale, across platforms and the internet.
Tagged with Machines do the heavy lifting, News labs open projects, Semantic Technology, Storyline, Structured Journalism
As part of our push towards Structured Journalism, we are working on "Explainers", an additional level of structure beyond the current tagging model.
The BBC has AN ENORMOUS amount of amazing content that can explain and contextualise the News. How do we connect and harness this?