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You work for a large technology company that aims to modernize its contact center to improve efficiency and customer service. The goal is to develop a machine learning solution to classify incoming calls based on the product being mentioned, so that these calls can be routed more quickly to the appropriate support team. The audio of the calls has already been transcribed into text using the Speech-to-Text API. Given the need to minimize data preprocessing and development time, what approach should you take to build the model?
A
Use the AI Platform Training built-in algorithms to create a custom model.
B
Use AutoML Natural Language to extract custom entities for classification.
C
Use the Cloud Natural Language API to extract custom entities for classification.
D
Build a custom model to identify the product keywords from the transcribed calls, and then run the keywords through a classification algorithm.