Question 8
When is it appropriate to include multiple classes for a sample text in the training data for IBM Watson Natural Language Classifier?
When text is very detailed such that identifying a single class may cause inaccuracies.
When experts interpret the same text in different ways, multiple classes support those interpretations.
When the text utterances are very similar in nature and we want to mark slight differences using classes
When the classifier has been retrained and we want to preserve old classes from a previous training set.
Correct answer: B
Explanation:
Reference: https://www.ibm.com/watson/developercloud/doc/natural-language-classifier/using-your-data.html#structure-of-training-data (guidelines for good training)
Reference: https://www.ibm.com/watson/developercloud/doc/natural-language-classifier/using-your-data.html#structure-of-training-data (guidelines for good training)