Classifying documents using Word2vec in Clojure

For classifying or clustering data in the context of a machine learning problem, the first step is to create a representation of data, usually called the Feature Vector. Datasets consisting of images or audio files have feature vectors that are already in numeric form. If we have text data, we have to convert words /characters into numbers.

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