When is it appropriate to include multiple classes for a sample text in the training data for IBM Watson Natural Language Classifier?
A . When text is very detailed such that identifying a single class may cause inaccuracies.
B . When experts interpret the same text in different ways, multiple classes support those interpretations.
C . When the text utterances are very similar in nature and we want to mark slight differences using classes
D . When the classifier has been retrained and we want to preserve old classes from a previous training set.
Answer: B