Mining YouTube Comments and Analyzing Games Through Myths – Summer Learning Resources from DARIAH-EU

After a well deserved summer break, we are returning with some learning opportunities. Here are a few resources featured in DARIAH-EU’s training campaign during the summer months.

Text Mining YouTube Comment Data with Wordfish in R 

A lesson by Alex Wermer-Colan, Nicole Lemire Garlic and Jeff Antsen introducing readers to a method for conducting research on internet discourse by performing data analysis on comments posted under YouTube videos by viewers.

You will learn how to download YouTube video comments and analyze their textual data using the natural language processing algorithm Wordfish. Designed for scaling textual data using unsupervised machine learning, Wordfish brings into relief the salient dimensions of latent meaning within a corpus.

Mytholudics: Games and Myth 

A webinar by Dom Ford from the Friday Frontier series lays out an approach to understanding games using theories from myth and folklor and how it can help you analyse and conceptualise gameworlds.

Dom Ford is a postdoctoral researcher at the Center for Digital Narrative at the University of Bergen, as part of the LEAD AI programme. His current project looks at nonplayer characters in games with AI-generated dialogue, how players respond to the use of this technology and how this use may challenge ideas in the philosophy of fiction like intentionality. He is also an editor for Eludamos. Previously he was a postdoc at the University of Bremen, part of the Media and Religion lab in the ZeMKI Centre for Media, Communication and Information Research, where he was also the managing editor for gamevironments.