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.

Level of Education: XXX
Course code/Ladok code: FJATD33
The course is conducted at: Jönköping International Business School Last modified 2022-11-25 10:04:20