NLU (Natural Language Understanding) is a subfield of Natural Language Processing (NLP) that focuses on enabling computers to understand and interpret human language in a meaningful way.
Key Capabilities of NLU:
1. Semantic Analysis – Understanding the meaning behind words and sentences.
2. Intent Recognition – Identifying the purpose behind a user's input (e.g., asking a question, making a request).
3. Entity Recognition – Extracting important information such as names, dates, locations, or product names.
4. Sentiment Analysis – Determining the emotional tone of text (e.g., positive, negative, or neutral).
5. Context Awareness – Understanding the meaning of words based on their surrounding text.
Example of NLU in Action:
User Input: "Book a flight to New York for next Friday."
NLU Interpretation:
- Intent: Flight booking
- Entities: Destination → New York, Date → Next Friday
NLU is widely used in AI-powered chatbots, virtual assistants (like Siri, Alexa, and ChatGPT), customer service automation, and search engines.
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