| title | Materials |
|---|---|
| layout | page |
| date | 2022-03-01 |
Before you can actually start programming on your computer, you need to set up the technical environment. Depending on your operating system, the installation procedure may vary. This guide provides step-by-step instructions.
If anything does not work as described, get in touch so that I can help.
The cheatsheet contains commands relevant for data wrangling task preceding any textual analysis. In addition to common Bash commands, it also features examples of regular expressions (RegEx).
The Jupyter Notebook contains basic Python statements that you need to know before you can make use of the third-party libraries.
{% comment %}
In this online-hosted notebook, you find many bits to start a powerful analysis based on simple techniques. It is a starters guide to enable social scientists to conduct NLP analysis. The kind of data, the relative simplicity of the methods, and the general approach are in line with social science practices and bring statistics together with the context of documents.
You can execute the code online to get a brief glimpse without bothering with installation.
{% endcomment %}
- A introductionary course into cultural analytics by Melanie Walsh covering the areas of text analysis, network analysis and statistical analysis in a similar spirit as this course here.
- A collection of videos by William Mattingly featuring various lessons of digital humanities.