AI-102 · Question #17
You are building a multilingual chatbot. You need to send a different answer for positive and negative messages. Which two Text Analytics APIs should you use? Each correct answer presents part of…
The correct answer is B. Sentiment Analysis D. Detect Language. B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the…
Question
Options
- ALinked entities from a well-known knowledge base
- BSentiment Analysis
- CKey Phrases
- DDetect Language
- ENamed Entity Recognition
How the community answered
(29 responses)- A7% (2)
- B76% (22)
- C14% (4)
- E3% (1)
Explanation
B: The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the sentence and D: The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the This capability is useful for content stores that collect arbitrary text, where language is unknown. https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-ho w-to-sentiment-analysis?tabs=version-3-1 https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-ho w-to-language-detection
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