A large part of the so called big data explosion comes in the form of text. Some examples of textual data are short social media messages, movie recommendations, blog posts, medical journals and official documents in electronic form. The course aims to give an introduction to quantitative methods for analysing text, with a focus on prediction and decision making from textual data. Students will learn the major steps in analysing text: retrieving the text from the original source, pre-processing the text using linguistic rules and structure, and statistical modelling for inference and prediction.
Text Mining, 6 credits
Autumn 2022, Half-time, Linköping
Semester
Autumn 2022
Place of study
Linköping
Pace of study
Half-time
Level
Second cycle
Teaching form
On-Campus
Education Time
Day-time
Education Language
English
Course offering id
LIU-46183
Period
202244 - 202302
Number of Places
2
Specific requirements
- 180 ECTS credits passed including 90 ECTS credits in one of the following subjects:
- statistics
- mathematics
- applied mathematics
- computer science
- engineering
- Passed courses in:
- calculus
- linear algebra
- statistics
- programming
- English corresponding to the level of English in Swedish upper secondary education (Engelska 6)
Exemption from Swedish
Selection
Course Time Information
23 October 2017 - 19 January 2018
Tuition fees
SEK 11598 - NB: Applies only to students from outside the EU, EEA and Switzerland.