732A47 Text Mining

Course information

Course sections

Introductory modules

Python Programming
Basic Statistics
Computational Linguistics

Data models and Information Retrieval for Textual Data
Statistical Models for Textual Data
Project

The three introductory modules are meant to give you the necessary background for the rest of the course.
You need to pass two out of the three introductory modules, and you are free to choose which module (if any) to skip.

Course literature
The following books will be used, in parts, during the course:

Natural Language Processing with Python.
This book contains a lot of practical hands-on material using the NLTK toolkit for Python.
The book's website is here, where the book can be read for free in HTML format. The publisher O'Reilly also sells the book in PDF format.
Foundations of Statistical Natural Language Processing.
This book describes the background theory for computational linguistics and statistical analysis of text data.
It available electronically for free here (for LiU students, but and probably also for students at most other Swedish universities).
The book's website is here.
Extra material

Note: We will not order the books to the book stores on campus. Both books are available at all major internet book stores.