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Question 16 - AI-102 discussion

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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 solution. (Choose two.) NOTE: Each correct selection is worth one point.

A.
Linked entities from a well-known knowledge base
Answers
A.
Linked entities from a well-known knowledge base
B.
Sentiment Analysis
Answers
B.
Sentiment Analysis
C.
Key Phrases
Answers
C.
Key Phrases
D.
Detect Language
Answers
D.
Detect Language
E.
Named Entity Recognition
Answers
E.
Named Entity Recognition
Suggested answer: B, D

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 document-level.

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 analysis.

This capability is useful for content stores that collect arbitrary text, where language is unknown.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis?tabs=version-3-1

https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection

asked 26/09/2024
Shane Cook
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