Topic Modeling mit dem DARIAH Topics Explorer | forTEXT

Topic Modeling mit dem DARIAH Topics Explorer | forTEXT

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.

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.

Towards Semantic Enrichment of Newspapers: A Historical Ecology Use Case

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.