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NLP

From Wikipedia, the free encyclopedia

Natural Language Processing (NLP)

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Natural Language Processing (NLP) is a field of artificial intelligence (AI) focused on enabling computers to understand, interpret, and generate human language. It combines linguistics, computer science, and machine learning to allow computers to process and respond to text or spoken words in ways that are valuable and meaningful.

Applications of NLP

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NLP is used in various applications, such as:

  1. Text Analysis: Breaking down text to understand grammar, context, and sentiment.
  2. Machine Translation: Translating text from one language to another, like Google Translate.
  3. Speech Recognition: Converting spoken language into text, such as in voice-activated assistants.
  4. Sentiment Analysis: Determining the sentiment (positive, negative, neutral) expressed in text, often used for analyzing reviews or social media.
  5. Chatbots: Enabling automated systems to have natural conversations with humans.

How NLP Works

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NLP relies on algorithms that can recognize patterns in language data, often trained on large datasets. This helps the model make predictions about language, such as filling in missing words, translating phrases, or answering questions accurately.

Note: While this summary provides an overview of NLP, it may not cover all aspects with complete accuracy.

Computer programming

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Libraries

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Mathematics

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Medicine

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  • No light perception, a diagnosis of severe blindness

Political Parties

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