Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on the interaction between computers and humans through natural language. It involves the development of algorithms and models that enable computers to understand, interpret, and generate human language. Key tasks in NLP include:

  1. Text Analysis: Breaking down and examining text to extract meaningful information.
  2. Speech Recognition: Converting spoken language into text.
  3. Machine Translation: Translating text or speech from one language to another.
  4. Sentiment Analysis: Determining the sentiment or emotional tone behind a text.
  5. Named Entity Recognition (NER): Identifying and classifying key elements in text (e.g., names, dates, places).
  6. Text Generation: Producing new text that is coherent and contextually relevant.

NLP combines computational linguistics, machine learning, and deep learning techniques to process and analyze large amounts of natural language data. Applications of NLP include virtual assistants (like Siri and Alexa), chatbots, language translation services, sentiment analysis tools, and more.

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