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2) Should I even be converting entire documents to vectors for classification problems like binary sentiment analysis?
3) Or should I try to use Convolutional Neural Networks on each word, like this tutorial? Is LSTM preferred over CNN for positive-negative text classification?
4) Is there any way to combine a Deep Learning model like CNN or RNN along with an ensemble of weak learning models to give a final output? (eg. I take in a few features like username, comment length, etc as inputs for my Ensemble Learning, but for the actual text I use a Neural Network)