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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 lecture, Quinn Dombrowski shares her thoughts on Digital Humanities Infrastructure, with a special focus on sustainability. She argues that solidarity (i.e. recognition of the interests of the larger group) is a prerequisite for the sustainability of DH infrastructures.