Word embeddings provide an unsupervised way to understand differences in word usage between discursive communities. A number of papers have focused on identifying words that are used differently by two or more communities. But word embeddings are complex, high-dimensional spaces and a focus on identifying differences only captures a fraction of their richness.
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