This folder contains three approaches with neural networks.
This task is brought forward by the simple-net.ipynb,simple-net-prediction.ipynb,simple-net-grid.ipynb. The first validates the model, the third gridsearchs it and the fourth outpus the predictions. It does roc = 89.7 on the test set.
Trains and predicts an embedding layer before classifying. Several netowrks have been tried. Due to a poorer validation performance if compared to more transparent models like an MLP on doc2vec (see successful-models), we thought it not to be worth a gridsearch & prediction effort. Releted notebook: embeddings.ipynb
Same as above, but with glove vectors pretrained on 6B words and 300 dimensions. Related notebook: pretrained-embeddings.ipynb.