You are developing a solution that uses the Text Analytics service. You need to identify the main talking points in a collection of documents. Which type of natural language processing should you use?
The answer given is correct, the key to understanding key phrase extraction is looking for "key" (for lack of a better word) words like "main", "important", "summary", even "broad" etc..as per previous questions.
The answer is correct.
Use key phrase extraction to quickly identify the main concepts in text. For example, in the text "The food was delicious and there were wonderful staff", Key Phrase Extraction will return the main talking points: "food" and "wonderful staff".
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview
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