Do humanists need BERT?

Do humanists need BERT?

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.

‘Voyant Tools’

‘Voyant Tools’

Introduction: Digital humanists looking for tools in order to visualize and analyze texts can rely on ‘Voyant Tools’ (https://voyant-tools.org), a software package created by S.Sinclair and G.Rockwell. Online resources are available in order to learn how to use Voyant. In this post, we highlight two of them: “Using Voyant-Tools to Formulate Research Questions for Textual Data” by Filipa Calado (GC Digital Fellows and the tutorial “Investigating texts with Voyant” by Miriam Posner.

The Research Software Directory and how it promotes software citation

The Research Software Directory and how it promotes software citation

Introduction: The Research Software Directory of the Netherlands eScience Institute provides easy access to software, source code and its documentation. More importantly, it makes it easy to cite software, which is highly advisable when using software to derive research results. The Research Software Directory positions itself as a platform that eases scientific referencing and reproducibility of software based research—good peer praxis that is still underdeveloped in the humanities. 

Towards Scientific Workflows and Computer Simulation as a Method in Digital Humanities – Digitale Bibliothek – Gesellschaft für Informatik e.V.

Introduction: The explore! project tests computer stimulation and text mining on autobiographic texts as well as the reusability of the approach in literary studies. To facilitate the application of the proposed method in broader context and to new research questions, the text analysis is performed by means of scientific workflows that allow for the documentation, automation, and modularization of the processing steps. By enabling the reuse of proven workflows, the goal of the project is to enhance the efficiency of data analysis in similar projects and further advance collaboration between computer scientists and digital humanists.