Use text classifier on unseen data
Welcome to the forums.

My understanding is that you're wanting to use the previously trained model to label new data points? If so, you'll be wanting to use .predict(X). From sklearn's documentation they say.


  All supervised estimators in scikit-learn implement a fit(X, y) method to fit the model > and a predict(X) method that, given unlabeled observations X, returns the predicted
  labels y. (Source)


Another note, is that you can't pass direct strings to a model - you'll need to preprocess your data like you did for your training set. Here is a good example of building a classifier and using it to predict new points.

Let me know if you have any questions of I've misunderstood.