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WN17

Abstract:

The article introduces our concept and experiences of teaching text mining in R to humanists and social scientists in a one week course. We teach methods to support the entire analysis workflow, from data import and conversion, basic (linguistic) preprocessing to actual analysis such as key-term extraction, co-occurrence statistics, topic models and text classification. The use of the statistical programming language R for the workshop enables participants to learn about methodical backgrounds at different depths levels, as well as to meet their own specific analysis requirements. Among other things, this is possible by relying on a vast supply of community-developed extensions for (textual) data analysis, visualization, and presentation. In detail, we introduce R Markdown tutorial sheets as a didactic core component of the course, and how they can be extended to alternative teaching formats such as a text book for self-learners.

Type: Inproceedings

Author: Gregor Wiedemann, Andreas Niekler
Title: Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R
Booktitle: Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH)
Year: 2017
Editor:Peggy Bockwinkel and Thierry Declerck and Sandra Kübler and Heike Zinsmeister
Publisher:CEUR-WS.org
Address:Berlin, Germany
Month:9
@INPROCEEDINGS{WN17,
AUTHOR = {Gregor Wiedemann, Andreas Niekler},
TITLE = {Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R},
BOOKTITLE = {Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH) },
YEAR = {2017},
EDITOR = {Peggy Bockwinkel and Thierry Declerck and Sandra Kübler and Heike Zinsmeister},
PUBLISHER = {CEUR-WS.org},
ADDRESS = {Berlin, Germany},
MONTH = {9}
}