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description: Learn how to build natural language processing (NLP) applications. | ||
keywords: nlp, natural language processing | ||
title: Natural language processing guides | ||
--- | ||
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The natural language processing (NLP) guides teach you how to build and run NLP | ||
applications. NLP applications can interpret and generate human language, both | ||
spoken and written. This is a natural language, as opposed to a formal or | ||
artificial one. NLP is a part of artificial intelligence (AI) and has a long | ||
history that goes back to the origins of linguistics. | ||
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> **Acknowledgment** | ||
> | ||
> These NLP guides are community contributions. Docker would like to thank | ||
> [Harsh Manvar](https://github.com/harsh4870) for his contribution to the NLP | ||
> guides. | ||
Select one of the guides to get started: | ||
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* [Language translation](language-translation.md): Automatically translate text | ||
or speech from one language to another. | ||
* [Named entity recognition](named-entity-recognition.md): Identify and extract | ||
specific entities or phrases from text, such as person names, locations, | ||
organizations, dates, etc., and classify them into predefined categories. | ||
* [Sentiment analysis](sentiment-analysis.md): Identify and extract emotions, | ||
opinions, and attitudes from text or speech. | ||
* [Text classification](text-classification.md): Assign a label or category to a | ||
text document or a segment of text, based on its content or context. | ||
* [Text summarization](text-summarization.md): Create a concise and informative | ||
summary of a longer text. | ||
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