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Improve upon sentiment predictions for a Twitter dataset

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how different this from empythy-master algorithm wise ? https://github.com/ClimbsRocks/empythy in empythy you use simple LogisticRegression from sklearn.linear_model import LogisticRegression even without regularisation but what is happening here?

the MLP is great, but requires a bit of a custom install, so may or may not be the best idea here.

right now we're just training a single default random forest