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.
DEC 13 2017
Labber Alex Norton shares four potential benefits of automated transcription technology that we’ve found from our experiments in the newsroom.
Tagged with automation, experiments, language technology, named entity recognition, newsroom tools, speech-to-text
JUN 27 2016
An update on Text Analysis in the news
Tagged with Efficiency, Machines do the heavy lifting, Named Entity Recognition, Semantic Technology, Tagging
NOV 18 2014
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
The BBC has AN ENORMOUS amount of amazing content that can explain and contextualise the News. How do we connect and harness this?