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Natural Language Processor

Advanced NLP system for sentiment analysis and entity extraction. Processes thousands of documents per second with state-of-the-art transformer models.

PythonPyTorchFastAPI

Overview

A high-performance NLP pipeline utilizing transformer models for various text processing tasks. Designed for enterprise-scale document processing with real-time capabilities.

Key Features

  • ✓Multi-language support (50+ languages)
  • ✓Sentiment analysis and emotion detection
  • ✓Named entity recognition
  • ✓Text classification and categorization
  • ✓Summarization and key phrase extraction
  • ✓Custom model training interface

Technologies Used

PythonPyTorchTransformers (Hugging Face)FastAPIRedisElasticsearchDockerKubernetes

Technical Challenges

  • ⚡Optimizing transformer inference speed
  • ⚡Handling multilingual text processing
  • ⚡Managing model versions and A/B testing
  • ⚡Scaling to handle peak loads

Outcomes & Impact

  • ●Processing 10K documents per second
  • ●Supporting 50+ languages
  • ●Deployed for 100+ enterprise clients
  • ●Achieved 94% accuracy on benchmark datasets