Welcome to the Natural Language Processing (NLP) Basics course! This path is designed to introduce you to the fundamentals of NLP, including text preprocessing, language models, and sentiment analysis. Let's dive in!

🎯 Course Overview

  • Duration: 4 weeks
  • Level: Beginner
  • Topics Covered:
    • Introduction to NLP
    • Tokenization & Part-of-Speech Tagging
    • Named Entity Recognition
    • Text Vectorization
    • Machine Learning for Text Classification

🧠 Key Concepts

  1. Tokenization
    Splitting text into individual words or phrases.

    Tokenization

  2. Language Models
    Statistical models that assign probabilities to sequences of words.

    Language_Models

  3. Sentiment Analysis
    Determining the emotional tone behind words to understand attitudes.

    Sentiment_Analysis

📚 Recommended Reading

For deeper insights, explore our Advanced NLP Techniques path or check out the NLP Applications course. These resources will help you build on the basics and apply NLP in real-world scenarios.

🌟 Practice Projects

  • Build a simple chatbot using Python
  • Analyze social media sentiment with TensorFlow
  • Create a text summarization tool

Don't forget to join our NLP Community Forum to discuss challenges and share progress! 🚀