You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic. Which types of natural language processing (NLP) workloads does the solution use?

The correct answer is C. translation and key phrase extraction. Natural language processing (NLP) has many uses: sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization. Need translation as different languages are used. Key phrase extraction is one of the features offered by Azure…

Submitted by fatima_kr· Mar 30, 2026Describe features of Natural Language Processing (NLP) workloads on Azure

Question

You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic. Which types of natural language processing (NLP) workloads does the solution use?

Options

Aspeech recognition and entity recognition
Bspeech recognition and language modeling
Ctranslation and key phrase extraction
Dtranslation and sentiment analysis

How the community answered

(39 responses)

A
8% (3)
B
5% (2)
C
85% (33)
D
3% (1)

Explanation

Natural language processing (NLP) has many uses: sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization. Need translation as different languages are used. Key phrase extraction is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase extraction to quickly identify the main concepts in text. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/key-phrase- extraction/overview

Topics

#NLP workloads#Translation#Key phrase extraction

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