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/
How to specify strings in Weka file?
Evaluating Test set using Weka
Need help interpret weka results
Different results in Weka GUI and Weka via Java code
imbalanced data classification with boosting algorithms
How to create ARFF file for 2D data points?
How to use weighted vote for classification using weka
Convert Web page to ARFF File for Weka classification
Liblinear bias greater than 2 improving accuracy?
Weka: Does training helps if test run is followed by training run?
Difference between logistic regression with binary output and classification
Weka - How to find input format for classifiers
How to incorporate Weka Naive Bayes model into Java Code
RapidMiner: Classifying new examples without re-running the existing trained model
How to check whether data is being overfiited for that model in weka
Feature Extraction for Face Dectection