Word2Vec is a special case of Kernel Correspondence Analysis and Kernels for Natural Language Processing

17 May 2016Hirotaka NiitsumaMinho Lee

We show that correspondence analysis (CA) is equivalent to defining a Gini index with appropriately scaled one-hot encoding. Using this relation, we introduce a nonlinear kernel extension to CA... (read more)

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