Semantic content selection
Powerful natural language understanding components dig deep into the meaning of streams to optimize content filtering
Crosslingual processing
Ingests, aggregates, categorizes and summarizes content from all over the world across multiple languages
Human-AI collaboration
The platform learns as you go: manual curation of specific topics is fed back into the platform to enhance future suggestions
Near real time
A high performance distributed architecture processes massive amounts of data streams allowing near real time access to actionable insights
Media Monitoring has changed
Twenty years ago, media monitoring consisted mainly of newspaper clippings. Today, it demands watching, listening and closely following the output of print, online and broadcast media. With the increased demands of the job, many media monitoring companies have expanded their teams. The EU-funded NEOSIGHT project is taking another approach.
Real-time cross-lingual global media monitoring
It is a real-time cross-lingual global media monitoring platform that can deliver actionable insight beyond the human scale. According to the project, this platform can continuously ingest massive multilingual data sources and automatically translate, filter, categorise and generate intelligence reports for media monitoring professionals.
Compliant with legislations
Created together with end users at BBC Monitoring and Deutsche Welle, the platform is also compliant with EU data protection and copyright legislations.
Want to give it a try?
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 885802.