The News Labs team is working with BBC Rewind - a project liberating the BBC archive - to share tech and approaches.
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 News in Space project attempts to find the similarity between all pieces of BBC content, no matter the format or subject.
The News Slicer takes MOS running orders and transcripts from BBC TV Broadcast Playout, then auto tags and auto segments the stories.
Tagged with API, Automatic Tagging, Broadcast News, Machines do the heavy lifting, Structured Journalism, Window on the newsroom
The Online Content Toolkit, or Octo, is a project exploring media editing, repurposing and augmentation based on the results of intelligent analysis.
Can we empower journalists with better ways of working with information, beyond the headline and text of a story?
Tagged with API, Atomised News, Digital Journalists, Efficiency, Elastic News, Personalised News, Structured Data, Tagging, Variable length News
This Big Data project will leverage machines to do the heavy lifting in multilingual media monitoring.
Tagged with API, Automatic Tagging, Big Data, EU, H2020, Journalism tools, MT, Newsroom tools, Open innovation, STT, Speech to text, Universities
Window on the Newsroom is a prototype discovery interface to help Journalists find content quickly across the whole Newsroom system by story or metadata properties
FEB 23 2017
The challenge: how might a range of different audience experiences be created from the same set of content?
Tagged with api, automated tagging, hackathons, interactive video, journalism tools, partnerships, personalised news, research and development, tagging
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
Exploring the use of captioning workflows as a means to infuse our linear output with structured data.
The Juicer takes news content, automatically tags it, then provides a fully featured API to access this content and data.
Tagged with API, Automatic Tagging, Co-occurrence, Machines do the heavy lifting, Named Entity Recognition, Semantic Technology, Structured Journalism, World Service and International, juicer
The BBC has AN ENORMOUS amount of amazing content that can explain and contextualise the News. How do we connect and harness this?