Surprisingly good and sane paper, without all that hipster's bullshit. The emphasis on the quality of the training data and, most importantly, on the evaluatio

Surprisingly good and sane paper, without all that hipster's bullshit. The emphasis on the quality of the training data and, most importantly, on the evaluation and careful choice of heuristics on which the model to be build upon, is what makes the paper sane. There is no shortage of disconnected from reality models based on dogmas, while, it seems, there is acute shortage of the models properly reflecting some particular aspects of reality. Data and proper, reality-supported heuristics (domain knowledge) are the main factors of success. Technical details and particular frameworks are of the least importance. This, BTW, is why it is almost impossible to compete with megacorps - they have the data (all your social networks) and they have the resources, including domain experts, without whom designing and evaluating a model is a hopeless task.