You must quickly add automatic subject-labeling for blog posts with no ML expertise or extra developers. What should you do?
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Correct answer: Call the Cloud Natural Language API and use the Entity Analysis output as labels..
Why this is the answer
The Cloud Natural Language API's Entity Analysis feature identifies and labels entities (people, places, events, etc.) within text, which can serve as automatic subject labels for blog posts. This is a pre-trained, managed service, requiring no ML expertise or development effort, making it the quickest solution. Sentiment Analysis, while part of the Natural Language API, assesses the emotional tone of text, not its subject matter, so it's unsuitable for labeling. Building and training a custom TensorFlow model, whether deployed on Cloud ML Engine or a GKE cluster, requires significant ML expertise, development time, and resources, which contradicts the requirement for a quick solution with no extra developers.
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