Lectures

You can download the lecture slides here.

• 

  1. Introduction and Encoding
  
  [slides]
  

  Suggested Readings:

  • LC, Chapter 1
• 

  2. Spelling errors
  
  [slides] [code] [shared deck]
  

  Suggested Readings:

  • LC, Chapter 2.1-2.3
• 

  3. Grammar checkers
  
  [slides] [shared deck]
  

  Suggested Readings:

  • LC, Chapter 2.5-2.8
• 

  4. Python Tutorial 1
  
  [slides] [code]
  

  Tutorial:

  • Values, variables, etc.
  • Strings, lists, etc.
  • Tuples, dictionaries, etc.

  Just for fun:

  • Python: The Documentary

    An origin story, YouTube

• 

  5. CALL
  
  [slides] [shared deck]
  

  Suggested Readings:

  • LC, Chapter 3
• 

  6. Python Tutorial 2
  
  [slides] [code]
  

  Review Tutorial 1:

  • Hakyung’s answer for Tutorial 1

  Tutorial:

  • Tokenization, Lemmatization, etc.
  • Concordance
• 

  7. Text as data
  
  [slides]
  

  Suggested Readings:

  • LC, Chapter 4.1
• 

  8. Python Tutorial 3
  
  [slides] [code]
  

  Review Tutorial 2:

  • Hakyung’s answer for Tutorial 2

  Tutorial:

  • Collocation
• 

  9. Corpus, Word distributions, Word vectors
  
  [slides] [shared deck]
  

  Suggested Readings:

  • LC, Chapter 4.2-4.4
• 

  10. Python Topic modeling Word2Vec
  
  [slides] [code]
  
• 

  11. Text Classification
  
  [slides]
  

  Suggested Readings:

  • LC, Chapter 5
• 

  12. Python Sentiment analysis
  
  [slides] [code]
  
• 

  13. Searching
  
  [slides]
  

  Suggested Readings:

  • LC, Chapter 6
• 

  14. Presentation prep
  
  [slides]
  
• 

  15. Chatbots
  
  [slides] [shared deck]
  

  Suggested Readings:

  • LC, Chapter 8.3
• 

  16. Python Building chatbot
  
  [slides] [code]