Welcome to the NLP Getting Started tutorial! This guide will help you kickstart your journey into understanding and working with natural language processing using Python. 🧠

📚 Learning Objectives

  • Understand what NLP is and its applications
  • Set up a basic Python environment for NLP tasks
  • Explore fundamental concepts like tokenization, stemming, and sentiment analysis
  • Complete a simple NLP project to gain hands-on experience

🧰 Setup Your Environment

  1. Install Python: Ensure Python 3.8+ is installed on your system.
    🔗 Download Python
  2. Install Libraries: Use pip to install essential NLP libraries:
    pip install nltk pandas scikit-learn
  3. Verify Installation: Run a simple script to check if libraries are correctly installed.

🧠 Core Concepts

  • Tokenization: Split text into individual words or phrases
    Tokenization Example
  • Stemming: Reduce words to their root form
    Stemming Process
  • Sentiment Analysis: Determine the sentiment of a text
    Sentiment Analysis

🧪 Hands-On Project

  1. Load a dataset using pandas
  2. Preprocess text with nltk
  3. Apply sentiment analysis with scikit-learn
  4. Visualize results using matplotlib

📚 Expand Your Knowledge

🔗 Explore Advanced NLP Topics to dive deeper into machine learning models and language models like BERT.

Happy learning! 📚💡
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