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You are tasked with developing an application on Google Cloud that will automatically generate subject labels for users' blog posts. Given the competitive landscape and the urgency to implement this feature swiftly, you have no additional developer resources available, and your team lacks experience in machine learning. What approach should you take to achieve this objective?
A
Call the Cloud Natural Language API from your application. Process the generated Entity Analysis as labels.
B
Call the Cloud Natural Language API from your application. Process the generated Sentiment Analysis as labels.
C
Build and train a text classification model using TensorFlow. Deploy the model using Cloud Machine Learning Engine. Call the model from your application and process the results as labels.
D
Build and train a text classification model using TensorFlow. Deploy the model using a Kubernetes Engine cluster. Call the model from your application and process the results as labels.