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ClearNLP looks the best imo, especially you're already using Java. If you're using Python...well, Redshift isn't production-ready, but if you needed to, it'd be the best thing to base your work off.

ClearNLP has a lot of nifty bells and whistles that would make a big difference. In particular, it selects the model for you, based on your text, and its similarity to various subsets of the training data. So, you get a model more matched to your data, which will improve real-world accuracies a lot.



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