Question

Which of the following is true about using machine learning for incident
classification and resolution?

A)Using NLP and machine learning classification is always better than rule-based
parsing of incident text to identify the resolution action to take.

B)Using NLP and machine learning classification will always provide high accuracy
irrespective of the ticket patterns as long as there is historic ticket data made available.

C)Getting a high accuracy in ticket classification requires sufficient historic volumes of
tickets with good quality descriptions and sufficient number of repetitive ticket
categories.

D)To improve ticket classification accuracy over time, we need to ensure there
is continuous feedback and continuous learning in place.​

Answer 1

Answer:

c is true and I think this is a correct information

Answer 2

Answer: C

Explanation: as NLP uses historic data