About

Intelligent text processing and language understanding systems. Includes chatbots, sentiment analysis, document processing, and language translation.

Features

1. Text Classification

Categorize documents, emails, and messages into custom categories with high accuracy.

2. Sentiment Analysis

Detect emotional tone, opinions, and attitudes in customer feedback and social media.

3. Named Entity Recognition

Extract people, organizations, locations, dates, and custom entities from text.

4. Text Summarization

Generate concise summaries of long documents while preserving key information.

5. Language Translation

Neural machine translation with support for 100+ languages and domain adaptation.

Technical Development

Text Processing Pipeline

• Tokenization
  Subword tokenization with vocabulary management and special token handling
• Embedding Generation
  Dense vector representations using transformer models (BERT, GPT, etc.)
• Model Fine-tuning
  Domain adaptation with task-specific training data and evaluation metrics

Production Integration

• Batch Processing
  Efficient processing of large document collections with parallelization
• Real-time API
  Low-latency inference endpoints with caching and request throttling
• Multi-language Support
  Language detection and routing to appropriate models for each language