NLP with Python

Syllabus

Course syllabus pdf

Week Date 
Topic
 Lab
1 09/11 
Orientation
 
2 09/18 
Introduction to Python and Language Processing ipynb; Installation ipynb
 Installation; First program
3 09/25 
Variables, expressions and statements; Working with corpora ipynb
  
4 10/02 
Function (I); Working with corpora	ipynb; slides
 alice.txt
dostoevsky.txt
hamlet.txt
5 10/09 
Data flow (conditionals and recursion); Working with lexical resources     ipynb; slides
  
6 10/16 
Functions (II); Working with lexical resources ipynb
  
7 10/23 
Data flow (iteration); Text/corpus processing and case study ipynb; slides
  
8 10/30 
Data types (strings); Mid-term exam
 
9 11/06 
Data types (lists, tuples,dictionary); Text/corpus processing and case study ipynb; slides
  
10 11/13 
Regular expression ; Text/corpus processing and case study with JSON ipynb; slides
  
11 11/20 
File input and output; Exceptions; Excursion: python for fun (VPython) ipynb
  
12 11/27 
Modules and Packages; Web APIs; Proposal discussion
  
13 12/04 
Mining Social Media; Data Analysis ipynb
 
14 12/11 
OOP (I); Proposal presentation
  
15 12/18 
[Guest lecture]: python for speech processing
 
16 12/25 
OOP (II); Mobile application with Python
 
17 01/01 
[National Holiday]
 
18 01/08 
Term project presentation and report due (on Github)