🧠 Introduction to NLP
Natural Language Processing (NLP) is a branch of artificial intelligence focused on enabling machines to understand, interpret, and generate human language. It powers applications like chatbots, translation tools, and sentiment analysis systems.

🛠️ Core Technologies

  • Tokenization

    tokenization
    Split text into individual words or phrases (tokens).

  • Part-of-Speech Tagging (POS)

    pos_tagging
    Identify grammatical components in sentences.

  • Sentiment Analysis

    sentiment_analysis
    Determine the emotional tone behind text data.

📊 Applications

  • Chatbots

    chatbots
    Use NLP for conversational interfaces.

  • Machine Translation

    machine_translation
    Translate text between languages automatically.

  • Text Summarization

    text_summarization
    Generate concise summaries of long documents.

🔗 Expand Your Knowledge
Check out our Advanced NLP Techniques guide to dive deeper into models like BERT and GPT.

🌟 Key Takeaways

  • NLP bridges human language and machine understanding.
  • Tools like spaCy, NLTK, and Transformers simplify implementation.
  • Always validate data quality before training models.