https://github.com/aaaastark/natural-language-processing
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that studies how machines understand human language.Natural Language Processing (NLP) makes it possible for computers to understand the human language. Probably, the most popular examples of NLP in action are virtual assistants, like Google Assist, Siri, and Alexa. NLP understands and translates the human language, like “Hey Siri, where is the nearest gas station?” into numbers, making it easy for machines to understand.
https://github.com/aaaastark/natural-language-processing
Last synced: 18 days ago
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Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that studies how machines understand human language.Natural Language Processing (NLP) makes it possible for computers to understand the human language. Probably, the most popular examples of NLP in action are virtual assistants, like Google Assist, Siri, and Alexa. NLP understands and translates the human language, like “Hey Siri, where is the nearest gas station?” into numbers, making it easy for machines to understand.
- Host: GitHub
- URL: https://github.com/aaaastark/natural-language-processing
- Owner: aaaastark
- Created: 2020-12-18T10:47:36.000Z (over 5 years ago)
- Default Branch: aaaastark
- Last Pushed: 2020-12-20T11:18:17.000Z (over 5 years ago)
- Last Synced: 2025-03-05T04:18:54.233Z (over 1 year ago)
- Language: Python
- Size: 6.84 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Natural-Language-Processing
Natural Language Processing (NLP) is a branch of Artificial Intelligence (AI) that studies how machines understand human language.Natural Language Processing (NLP) makes it possible for computers to understand the human language. Probably, the most popular examples of NLP in action are virtual assistants, like Google Assist, Siri, and Alexa. NLP understands and translates the human language, like “Hey Siri, where is the nearest gas station?” into numbers, making it easy for machines to understand.
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