How do natural language processing technologies understand human language? 🔊
Natural language processing (NLP) technologies understand human language by using algorithms that analyze text or speech to extract meaningful data. NLP encompasses various techniques, including tokenization, sentiment analysis, and machine translation. These technologies recognize patterns, context, and intent, allowing machines to interpret and generate language similarly to humans. Applications of NLP range from virtual assistants that answer queries to chatbots that provide customer support. As NLP continues to advance, it enables more sophisticated interactions between humans and machines, improving accessibility to information and enhancing user experiences.
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