Introduction to Natural Language Processing (NLP): Understanding Human Language with Machines

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🗣️ Introduction to Natural Language Processing (NLP)

Natural Language Processing (NLP) is a critical subfield of Artificial Intelligence (AI) focused on enabling computers to understand, interpret, and generate human language.

🧠 What is NLP?

NLP blends:

  • 📚 Linguistics
  • 💻 Computer Science
  • 🤖 Machine Learning

Together, these disciplines work to analyze text and speech data.

🛠️ Applications of NLP

  • 💬 Chatbots
  • 🌍 Machine Translation
  • 😊 Sentiment Analysis
  • 🗣️ Speech Recognition
  • 🔍 Information Retrieval

🚧 Core Challenge

The main difficulty in NLP lies in bridging the gap between:

  • 🧩 The ambiguity, complexity, and contextual richness of human language
  • 🧱 The rigid structure computers require for accurate processing

📘 What You’ll Learn

This tutorial will guide you through:

  • 🧰 Fundamental concepts
  • 📈 Key techniques
  • 🧪 Practical implementations

that drive modern NLP systems.

🧩 Diagram: NLP Pipeline Overview

Input Text
    |
    v
[Text Preprocessing]
    |
    v
[Feature Extraction] ---> [Model Training] ---> [Prediction]
                                         |
                                         v
                                NLP Applications (e.g. Chatbot)