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