Natural Language Understanding (NLU) encompasses tasks focused on comprehending and interpreting human language in a structured way. It includes:
- Text Classification: Categorizing text into predefined labels (e.g., spam detection).
- Named Entity Recognition (NER): Identifying and classifying entities like names, places, and dates.
- Sentiment Analysis: Detecting the emotional tone of text.
- Intent Recognition: Identifying user intent in commands or queries.
- Semantic Parsing: Converting language into structured data, often for databases or code.
NLU models build foundational understanding for language processing and are essential for tasks like chatbots and search engines.