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Similarity measure with corpus of art reviews - "art thesaurus"

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word2vec

Similarity measure with corpus of art reviews - "art thesaurus"

We took as our corpus of words (i.e. the possible outputs of the thesaurus) a relatively small number of art reviews found at various reputable sources. Then we gave the model a “target” word; this is the word we want see context for. Each word can be mapped to a vector by the GLoVE algorithm and then we can use some maths to find the 5 most “similar” or “closest” words in the corpus to the target word.

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Similarity measure with corpus of art reviews - "art thesaurus"

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