Natural Language Processing (NLP)

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Definition of 'Natural Language Processing (NLP)'

Natural language processing (NLP) is a subfield of artificial intelligence that gives computers the ability to understand, analyze, and generate human language. It's a complex field that encompasses a wide range of techniques, from machine learning to statistical modeling.

NLP is used in a variety of applications, including:

* **Machine translation:** NLP can be used to translate text from one language to another. This is a challenging task, as languages have different grammars and structures. However, NLP has made significant progress in recent years, and machine translation is now used in a variety of applications, such as online translation tools and voice-activated assistants.
* **Information retrieval:** NLP can be used to extract information from text documents. This is useful for tasks such as finding relevant information on the web, or summarizing long documents.
* **Sentiment analysis:** NLP can be used to analyze the sentiment of text. This is useful for tasks such as identifying customer feedback, or predicting the success of a new product.
* **Chatbots:** NLP can be used to create chatbots, which are virtual assistants that can interact with users in natural language. Chatbots are used in a variety of applications, such as customer service, customer support, and marketing.

NLP is a rapidly growing field, and new applications are being developed all the time. As NLP becomes more sophisticated, it will have an increasingly significant impact on our lives.


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