Natural Language Understanding (NLU) is a subfield of Natural Language Processing (NLP) that focuses on enabling machines to comprehend and interpret human language in a meaningful way. NLU involves the extraction of information, sentiment analysis, and the recognition of intent from text. Its main characteristics include the ability to process context, handle ambiguity, and understand nuances in language. Common use cases of NLU include chatbots, virtual assistants, sentiment analysis tools, and automated customer service systems. By leveraging techniques such as machine learning and deep learning, NLU systems can improve over time, enhancing their understanding of language and user intent.
Learn about n-grams, their characteristics, and common use cases in natural language processing.
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AI Fundamentals