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| Retrieving documents that are similar |
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| • | We can use an
autoencoder to find low- |
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| dimensional codes
for documents that allow |
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| fast and accurate
retrieval of similar |
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| documents from a
large set. |
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| • | We start by
converting each document into a |
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| “bag of
words”. This a 2000 dimensional |
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| vector that
contains the counts for each of the |
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| 2000 commonest
words. |
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