Introduction to Text-mining with R - Einzelansicht

This seminar aims to provide students with the basics to understand the possibilities and pitfalls of automated text analysis with R. Starting with a brief overview of text-as-data
methods, it explores specific text-mining techniques, including algorithms for supervised and unsupervised ideological scaling. The course includes theoretical sessions introducing and discussing the conceptual frameworks described in the reading material, as well as practical instruction in the use of the main preprocessing and text-mining methods. Proficiency in R is not a prerequisite for participation in this seminar, although basic knowledge may be helpful.

• Grolemund, G., and Wickham, H. (2016). R for Data Science. O'Reilly Media, Inc.
• Silge, J., and Robinson, D. (2017). Text Mining with R: A Tidy Approach. O'Reilly Media, Inc.

Modulabschlußprüfung ist eine Hausarbeit.

Anmelde- und Rücktrittsfrist für die Modulabschlußprüfung: 10.04.2024 - 29.09.2024