Classifying text by labels

In our first example using Doc2Vec, we will associate our documents with three labels: health, finance, and science. But before we can associate the data with labels, we have to define those labels and train our model to recognize the labels. Each label represents the meaning or classification of a particular piece of text.

In this example we will use sample documents, each pre-labelled with our categories: health, finance, or science. We will use these paragraphs to train our model and then, as in previous examples, use a set of test data to test our model. We will be using the files found at https://github.com/deeplearning4j/dl4j-examples/tree/master/dl4j-examples/src/main/resources/paravec. We have based this ...

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