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Natural Language Processor
ArchivedAdvanced NLP pipeline for multilingual text analysis, sentiment detection, and content classification.
Technologies Used
Python
PyTorch
Transformers
spaCy
FastAPI
Celery
Redis
Docker
Project Overview
A sophisticated natural language processing system that handles multiple languages and provides comprehensive text analysis capabilities. Features include sentiment analysis, entity recognition, content classification, summarization, and language detection. The system uses transformer-based models and includes custom training pipelines for domain-specific applications. Deployed as microservices with REST APIs and supports batch processing for large document collections.
Project Details
- Status
- Archived
- Created
- April 18, 2023
Technology Stack
Python
PyTorch
Transformers
spaCy
FastAPI
Celery
Redis
Docker
8 technologies used in this project
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