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 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.
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
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?