Natural Language Processing

Overview

This skill provides comprehensive tools for building NLP applications using modern transformers, BERT, GPT, and classical NLP techniques for text classification, named entity recognition, sentiment analysis, and more.

When to Use

• Building text classification systems for sentiment analysis, topic categorization, or intent detection
• Extracting named entities (people, places, organizations) from unstructured text
• Implementing machine translation, text summarization, or question answering systems
• Processing and analyzing large volumes of textual data for insights
• Creating chatbots, virtual assistants, or conversational AI applications
• Fine-tuning pre-trained transformer models for domain-specific NLP tasks

NLP Core Tasks

• Text Classification: Sentiment, topic, intent classification
• Named Entity Recognition: Identifying people, places, organizations