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 typical areas 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.
Selection
Level of Education: Third cycle
Coursecode/Ladok code: FJATD33
The course is conducted at: Jönköping International Business School
| Label | Value |
|---|---|
| Type of course | Course, Third-cycle |
| Study type | Normal teaching |
| Semester | Spring 2025 |
| Study period |
week 18 - week 24
|
| Rate of study | 50% |
| Language | English |
| Location | Jönköping |
| Time | Day-time |
| Application code | HJ-FJ049 |