You work for a large technology company that wants to modernize their contact center. You have been asked to develop a solution to classify incoming calls by product so that requests can be more quickly routed to the correct support team. You have already transcribed the calls using the Speech-to-Text API. You want to minimize data preprocessing and development time. How should you build the model?

A. Use the AI Platform Training built-in algorithms to create a custom model. B. Use AutoMlL 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.