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- trained with cross-entropy, meaning that model scores can be used more effectively as a 'confidence' - e.g. for spam if you want to say something like "if prediction score > X, then filter", Naive Bayes is not ideal due to the 'naive' assumption which makes the scores very un-calibrated (it tends to give extremely high or low confidence scores for most things).
disclaimer: I haven't really thought about NLP for about 3 years so there may be something better than this now
[1] https://github.com/facebookresearch/fastText
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