vrt: use case textual data: a lot of it vrt creates very large amounts news data (textual) –mostly...
TRANSCRIPT
Textual data: a lot of it
• VRT creates very large amounts news data (textual)– Mostly News or related– sporza.be– deredactie.be– cobra.be– …
Challenge: automated tagging & categorization
• Tagging and categorizing the content is a resource intensive task (manpower)!
• Tagging consistently with a team is a difficicult challenge!
• How to handle the existing archive?
Test case
• Content from:– sporza.be– deredactie.be– cobra.be
• Over 100.000 articles
• Automated Named Entitiy recognition• Automated Categorization
• Available in search-interface
Benefits & Applications
• Uniform annotations over all content• Processing of backlog• Time savings:
– 1 min article– 100.000 articles– 208 working days
• Personalized filtering• Automated publishing• Easy search• Simplify content reuse
Zeticon
MediaHaven MAM
• Media Asset Management
• Problematic content reuse• Inefficient use of time• Security & Rights Management• Scalability
MediaHaven Analytics
• Information retrieval
• Resource Intensive• Consistency• Scalability• Language dependencies