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Answer: D. key phrase extraction
The correct answer is D. Key phrase extraction is the process of identifying the main ideas or important points in a text. When you want to extract primary topics or talking points from a set of documents, key phrase extraction is the most suitable natural language processing technique to use. This is in contrast to language detection, sentiment analysis, and entity recognition, which serve different purposes such as identifying the language of the text, determining the sentiment, and recognizing specific entities respectively.
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In developing a solution utilizing the Language service, which natural language processing technique is best suited for extracting the primary topics from a set of documents?
A
A. language detection
B
B. sentiment analysis
C
C. entity recognition
D
D. key phrase extraction
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