Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. This tutorial will guide you through the fundamentals of NLP, its key technologies, and practical applications.

Core Concepts of NLP

  • Tokenization: Splitting text into individual words or phrases.

    Tokenization

  • Syntax Analysis: Understanding the grammatical structure of sentences.

    Syntax Analysis

  • Semantic Analysis: Extracting meaning from text.

    Semantic Analysis

  • Machine Learning Models: Training algorithms to recognize patterns in language.

    Machine Learning Models

Applications of NLP

  • Text Classification

    Text Classification

  • Sentiment Analysis

    Sentiment Analysis

  • Machine Translation

    Machine Translation

  • Chatbot Development

    Chatbot

Further Learning

For an in-depth exploration of advanced NLP techniques, visit our NLP Advanced Tutorial. 🚀
For practical coding examples, check out the NLP Code Repository. 💻