← Natural Language Processing learning path
Natural Language Processing · Module 1 of 10

Introduction to NLP

NLP helps computers understand and generate human language.

📖 Key ideas

  1. NLP combines linguistics and machine learning.
  2. Tasks: sentiment analysis, translation, summarisation, chatbots, search.
  3. Text is messy: spelling, slang, multiple languages.
  4. Modern NLP uses Transformers and large language models.
  5. Libraries: NLTK, spaCy, Hugging Face Transformers.
💡 Real-life example: NLP is teaching a computer to read and write like a student learning a new language.
NLPNatural Language Processing
Sentiment analysisDetecting positive/negative tone
CorpusCollection of texts
spaCyIndustrial NLP library