Methods to Analyze Text as Data 7,5 Credits
Course Contents
The course provides an overview over the most common text-as-data methods as well as their typicalareas of application:
- Prerequisites (text import, creation of corpora, pre-processing, creation of document-term
matrices, lemmatization)
- Text statistics (e.g., frequency analysis, measures of readability, similarity indices)
- Generic and customized dictionaries
- Sentiment analysis
- Text classification using reference texts and supervised learning
- Topic modeling
Prerequisites
Admitted to a doctoral program in Economics, Business Administration, or a related subject of a recognized business school or university. Knowledge in basic statistics and previous experience with R are recommended, but not required.Level of Education: XXX
Course code/Ladok code: FJATD33
The course is conducted at: Jönköping International Business School
Previous and ongoing course occasions
Type of course
FORS
Study type
Campus
Semester
Spring
2023:
Apr 17
-
Jul 02
Rate of Study
50%
Language
English
Location
Jönköping
Time
Day
Examiner
Marcel Garz
Application code
HJ-FJ049