Introduction: Digital text analysis depends on one important thing: text that can be processed with little effort. Working with PDFs often leads to great difficulties, as Zeyd Boukhers Shriharsh Ambhore and Steffen Staab describe in their paper. Their goal is to extract references from PDF documents. Highlight of their described workflow are very impressive precision rates. The paper thereby encourages to a further development of the process and its application as a “method” in the humanities.
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.