Stanford Classifier: generating model for on the fly classification (eg big data stream)?
I went through the tutorial on training data as per http://nlp.stanford.edu/wiki/Software/Classifier#The_Stanford_Classifier How would I go about using the trained model on larger big data that can be processed as a stream? The output from the classifier is just a report on test / train data. I would expect some kind of json model output that can be reused on other data. PS Looks like the Stanford NER Classifier (eg generating a model file and using that file on new data) has this capability https://blogs.nd.edu/wilkens-group/2013/10/15/training-the-stanford-ner-classifier-to-study-nineteenth-century-american-fiction/
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