IBM Watson Natural Language Classifier is a service that enables developers without a background in machine learning or statistical algorithms to create natural language interfaces for their applications, interprets the intent behind text and returns a corresponding classification with associated confidence levels and the return value can then be used to trigger a corresponding action, such as redirecting the request or answering a question.
Question 2
When would this pattern be used?
Options:
A.
When there is a need to disambiguate the output of a dialog
B.
When there is a need to analyze or index content contained within an image
C.
When there is a need to analyze or index content contained within speech
D.
When there is a need to search through output from Natural Language Classifier
Answer:
C
Question 3
What is the definition of false positive in the context of measuring accuracy of a machine learning system?
Options:
A.
The system returns a low confidence score for a correct answer.
B.
The system returns a high confidence score for an incorrect answer.
C.
The system returns only low confidence scores for all answers.
D.
The system returns only high confidence for all answers, both correct and incorrect.