Swedish web site
Text Mining2015HT
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Course plan
No of lectures
2-3 preparatory lectures (Python, Linguistics, Statistics) + 5-6 lectures on text mining.
Recommended for
PhD students in Statistics, Computer Science and Cognitive Sciences.
The course was last given
Spring 2014
Goals
The course aims to show how to textual data can be retrieved, linguistically pre-processed and subsequently analyzed quantitatively using formal statistical methods and models. The course brings together expertise from the areas of database methodology, computational linguistics and statistics.
Prerequisites
Students entering the course should have been admitted to a master’s programme in Computer Science, Cognitive Science or Statistics, or similar master’s programmes. Advanced students in bachelor’s programmes in engineering may also be admitted to the course. In addition, the equivalent of 18 ECTS credits in Statistics and Computer Science is required, with at least 6 ECTS in both Statistics and Computer Science.
Organization
The course consists of lectures, lab exercises and a text mining project. The
lectures are devoted to presentations of concepts, and methods. The computer
exercises are devoted to practical application of text mining tools. In the
project work, the student will get hands-on experience in solving a text mining
problem.
Language of instruction: English.
Contents
The course aims to show how to textual data can be retrieved, linguistically
pre-processed and subsequently analyzed quantitatively using formal statistical
methods and models. The course brings together expertise from the areas of
database methodology, computational linguistics and statistics.
The course proceeds in four stages:
* Introductory modules
- Introduction to Python programming
- Introduction to statistical modeling
- Introduction to computational linguistics
* Data models and information retrieval for textual data
* Statistical models for textual data
* Text mining project
Literature
http://www.ida.liu.se/~732A47/info/courseinfo.en.shtml.
Lecturers
Mattias Villani
Oleg Sysoev
Marco Kuhlmann
Patrick Lambrix
Examiner
Mattias Villani
Examination
Text mining project report. Written reports on lab assignments.
Credit
6 ECTS
Comments
Page responsible: Director of Graduate Studies
