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Natural Language Processing (NLP)

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling machines to understand, interpret, and respond to human language.

Natural Language Processing (NLP)

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling machines to understand, interpret, and respond to human language. It encompasses text analysis, speech recognition, and language generation.

Also known as : Computational linguistics, language technology.

Comparisons

  • NLP vs. NLU : NLP is the broader field, while NLU specifically addresses comprehension of language.

  • NLP vs. NLG : NLP includes processing input language, whereas NLG generates human-like language as output.

Pros

  • Enhances communication : Bridges the gap between humans and machines.

  • Automates processes : Enables chatbots, voice assistants, and document summarization.

  • Scalable : Handles large-scale text or voice data efficiently.

Cons

  • Ambiguity : Struggles with interpreting idioms, context, or sarcasm.

  • Data dependency : Requires substantial training data for accuracy.

Example

A customer service chatbot uses NLP to understand and respond to user queries, such as checking account balances or troubleshooting technical issues.

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