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January 2024
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3 Reads
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2 Citations
The Programming Historian
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.
... .html. A lesson for an analogous word2Vec method in Python has been published by the Programming Historian, including a discussion of parameters (Blankenship et al. 2024 varying the training using n-grams, which, in the end, allowed us to access different sorts of discourse. For example, we found that training the WVM for multi-word n-grams was particularly useful for word groupings common in the narrative and formulaic manumission requests or for Arabic idafa constructions. ...
January 2024
The Programming Historian
