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: Computer scientists and humanists at the University of Würzburg have jointly developed a new and promising OCR tool to simplify text recognition in historical prints. “OCR4all” is freely available and works very reliably. The article describes its development and functions and leads to a well documented github repository to test the tool for yourself.
Introduction: This is a comprehensive account of a workshop on research data in the study of the past. It introduces a broad spectrum of aspects and questions related to the growing relevance of digital research data and methods for this discipline and which methodological and conceptual consequences are involved and needed, especially a shared understanding of standards.
Introduction: Apart from its buoyant conclusion that authorship attribution methods are rather robust to noise (transcription errors) introduced by optical character recognition and handwritten text recognition, this article also offers a comprehensive read on the application of sophisticated computational techniques for testing and validation in a data curation process.
Introduction: This is a well-structured account of a seminar session on data management held in Munich. It introduces many topics which humanists have to deal with during a research process.
Introduction: What is the precise impact of digital humanities on the humanities in general? That this influence exists seems a given, but how the digital humanities impact humanities methodology en epistemology is still an open question. This article delves deeper into this problem of epistemology and presents a model of five ‘polarities’ along which these influences can be positioned.
Introduction: This report (available in English, French, German, Polish and Spanish) summarizes the findings of a web-based survey conducted in 2014/2015 by the Digital Methods and Practices Observatory (DiMPO), a DARIAH working group
Introduction: This article presents six different uses of networks based on graph theory in Digital Humanities projects.
Introduction: This post explains the benefits of using BEACON for data enrichment and increased visibility, on the example of Bibliografie deutsch-jüdische Geschichte Nordrhein-Westfalen.