Portfolio / NLP / Research

News Collider — Automatic Text Annotation

Joint project with MSU CMC. NLP-powered automatic annotation system for news texts using transformer models. Entity extraction, event detection, and multi-label categorization at scale.

CASE_OVERVIEW
cat /cases/news-collider.json
PARTNER
MSU CMC
APPROACH
Transformers
STATUS
Production

Stack

  • PyTorch
  • FastAPI
  • React
  • Transformers

Tags

  • NLP
  • Research
  • MSU
  • ML

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