Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. It involves understanding, interpreting, and generating human language.

Key Concepts

  • Tokenization: Breaking text into words or tokens.
  • Part-of-Speech Tagging: Labeling each word with its grammatical role in the sentence.
  • Named Entity Recognition (NER): Identifying and categorizing named entities in text, such as persons, organizations, locations, etc.
  • Sentiment Analysis: Determining the sentiment of a piece of text, such as whether it's positive, negative, or neutral.

Resources

For more in-depth information on NLP, you can visit our NLP Tutorials.

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Applications

NLP is used in a variety of applications, including:

  • Search Engines: Understanding user queries and returning relevant results.
  • Chatbots: Providing automated customer service.
  • Machine Translation: Translating text from one language to another.

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Further Reading

If you're interested in learning more about NLP, consider checking out the following resources:

  • Books: "Speech and Language Processing" by Dan Jurafsky and James H. Martin.
  • Online Courses: "Natural Language Processing with Python" on Coursera.

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