TensorFlow Python Simple Multiclass NLP Poem Classification

In this simple TensorFlow multiclass prediction problem in Python we will be an NLP model and attempt to classify poems as Affection, Death, Environment, or Love. Poems are a very difficult NLP classification due to the abstract nature of the writing makes this a very difficult dataset to get a very high score. Our goal will be an accuracy of .50, which is normally very low but very difficult to achieve on Poem classification.

We will build our model today in the Sequential model in TensorFlow. The first layer in our model will be an Embedding layer. We will follow our embedding layer with a special type of dropout layer called Spatial Dropout and this drops each neuron by changing not a certain percentage of each layer. This allows some epochs to have more or less total neurons turned off. This type of dropout works for NLP problems.

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