Introduction: In our guidelines for nominating content, databases are explicitly excluded. However, this database is an exception, which is not due to the burning issue of COVID-19, but to its exemplary variety of digital humanities methods with which the data can be processed.AVOBMAT makes it possible to process 51,000 articles with almost every conceivable approach (Topic Modeling, Network Analysis, N-gram viewer, KWIC analyses, gender analyses, lexical diversity metrics, and so on) and is thus much more than just a simple database – rather, it is a welcome stage for the Who is Who (or What is What?) of OpenMethods.
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: Now that sources for research increasingly are digital sources, how do we establish the quality of such sources?
Introduction: This open access article presents the development and the use of a digital tool for linguistic studies.
Introduction: Here is the presentation of a project in digital archeology with its methods and research process.
Introduction: This French post analyses the data recognition between art and computer.
Introduction: This introductory blogpost investigates on how useful are design methods and tools for digital humanities and for knowledge.
Introduction: This post highlights the perception and the representation of the reality between art and codes.
Introduction: This post outlines digital researches in the humanities by valutating some tools and results.
Introduction: Here is the English minutes of a German conference report on literature and Digital Humanities.