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This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.

Word embeddings allow you to analyze the usage of different terms in a corpus of texts by capturing information about their contextual usage. Through a primarily theoretical lens, this lesson will teach you how to prepare a corpus and train a word embedding model. You will explore how word vectors work, how to interpret them, and how to answer humanities research questions using them.

In this podcast, produced by virtualculture.ch, sociologist Jane Haller, Digitales Schaudepot president, is conversing with Sorin Marti, a data steward in the Research Infrastructure Support Entity (RISE) at the University of Basel to discuss aspects of data management for public consumption.

Diese Ressource stellt den Austria Media Corpus (amc) und seine Nutzungsmöglichkeiten vor. Sie erklärt die Durchführung von Abfragen in der corpus query engine namens Sketch Engine. Im Besonderen geht es um die Einführung in Sketch Engine's "Corpus Query Language" (CQL). Das Ziel des Tutorials ist es, den Benutzern des Austrian Media Corpus (amc) einen einfachen Einstieg in die Abfrage des amc mit der Sketch Engine und CQL zu ermöglichen. Daher ist das Tutorial bewusst in deutscher Sprache gehalten. Alle Beispiele im Tutorial sind direkt dem amc entnommen.