Predicting the likelihood of a book
There are 5 files.
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Run Liblinear to reproduce the result in the paper 1.
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Run Doc2Vec to reproduce the result in the paper 2.
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Run w2v to generate the word embedding of the every book.
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Find common word between a book and the global embedding sapce and save the common word vectors.
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Association analysis will generate calcualte the associatio and bias the predict the likelihood.
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For the alignment I used vecmap, there 10 bat files in folder. These bat file generate the aligned embedding space.