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.

Here are some additional resources that you may find helpful:

* [Natural Language Processing (NLP)](https://en.wikipedia.org/wiki/Natural_language_processing)
* [Introduction to Natural Language Processing](https://www.coursera.org/specializations/natural-language-processing)
* [Natural Language Processing with Python](https://www.manning.com/books/natural-language-processing-with-python)

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