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When developing a Google Cloud application that requires automatic generation of subject labels for users' blog posts under tight deadlines and without additional developer resources or machine learning expertise, what is the most suitable approach?
A
Develop and train a text classification model using TensorFlow, deploy it using Cloud Machine Learning Engine, call the model from the application, and process the results as labels.
B
Utilize the Cloud Natural Language API in the application and process the generated Sentiment Analysis as labels.
C
Develop and train a text classification model using TensorFlow, deploy it using a Kubernetes Engine cluster, call the model from the application, and process the results as labels.
D
Utilize the Cloud Natural Language API in the application and process the generated Entity Analysis as labels.
