Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. It enables machines to understand, interpret, and generate human-like text, bridging the gap between human communication and computer understanding.

Key Concepts in NLP

  • Tokenization: Splitting text into individual words or phrases (tokens)
    Tokenization
  • Syntax Analysis: Understanding the structure of sentences
    Syntax_analysis
  • Semantic Analysis: Grasping the meaning of language
    Semantic_analysis
  • Machine Learning Models: Algorithms like RNN, CNN, and Transformers
    Transformers

Applications of NLP

  • Chatbots and virtual assistants
  • Sentiment analysis for social media
  • Language translation services
  • Text summarization tools
  • Speech recognition systems

Evolution of NLP

  1. Rule-based systems (1950s–1990s)
  2. Statistical models (2000s)
  3. Deep learning breakthroughs (2010s–present)
    Deep_learning

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