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Word embeddings are the hottest new technology in natural language processing, and are used across linguistic computer science, from machine translation to information extraction and computational literary analysis. We will cover advanced topics in word embeddings, including: document similarity analysis, nearest-neighbor analysis, training vector spaces, and visualization. We will use literary texts as examples, but [...]