Introduction: Introduction by OpenMethods Editor (Christopher Nunn): Information visualizations are helpful in detecting patterns in large amounts of text and are often used to illustrate complex relationships. Not only can they show descriptive phenomena that could be revealed in other ways, albeit slower and more laborious, but they can also heuristically generate new knowledge. The authors of this article did just that. The focus here is, fortunately, on narratological approaches that have so far hardly been combined with digital text analyzes, but which are ideally suited for them. To eight German novellas a variety of interactive visualizations were created, all of which show: The combination of digital methods with narratological interest can provide great returns to Literary Studies work. After reading this article, it pays to think ahead in this field.
Introduction: The first steps into working with digital methods of text analysis are often made with beginner-friendly tools. The DARIAH-DE TopicsExplorer opens up the world of topic modeling with an easy-to-understand GUI, numerous operating options and high-quality results. The team of forText of the University of Hamburg developed a tutorial (Lerneinheit) to guide users step by step from installing the software to the first results with a sample corpus. The tutorial also contains screenshots, videos, exercises and explanations. This follows the didactic concept of forText.
Introduction: Ted Underwood tests a new language representation model called “Bidirectional Encoder Representations from Transformers” (BERT) and asks if humanists should use it. Due to its high degree of difficulty and its limited success (e.g. in questions of genre detection) he concludes, that this approach will be important in the future but it’s nothing to deal with for humanists at the moment. An important caveat worth reading.
Introduction: Standards are best explained in real life use cases. The Parthenos Standardization Survival Kit is a collection of research use case scenarios illustrating best practices in Digital Humanities and Heritage research. It is designed to support researchers in selecting and using the appropriate standards for their particular disciplines and workflows. The latest addition to the SSK is a scenario for creating a born-digital dictionary in TEI.
Introduction: This blog post not only presents a technique of measuring poetic meter and using it to plot distances between poets, but it also provides an insight into the theoretical and empirical process leading to those results.
Introduction: Ecologists are much aided by historical sources of information on human-animal interaction. But how does one cope with the plethora of different descriptions for the same animal in the historic record? A Dutch research group reports on how to aggregate ‘Bunzings’, ‘Ullingen’, and ‘Eierdieven’ (‘Egg-thieves’) into a useful historical ecology knowledge base.
Introduction: Concepts are described differently in different times, and the way people talk about them reveals much about how people perceive these concepts. Researchers of the eScience Center in Amsterdam together with scholars from Utrecht University developed a visual tool to gain insight into such concept shift.
Introduction: This article presents six different uses of networks based on graph theory in Digital Humanities projects.
Introduction: This software paper describes ‘stylo’ – an R package for stylometric research and text processing.
Introduction: This conference report (with the conference podcast) outlines the TEI solutions for encoding oral corpus.