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AI-900: Text Analytics API Essentials: Resources for Effective Analysis

Unlock the power of Text Analytics API with key resources like Keyphrases, Entities, Language Detection, and Sentiment Analysis. Enhance text analysis and understanding effortlessly.

Table of Contents

Question

What are the four resources that you need to use to call Text Analytics API endpoint?

A. recognize
B. keyphrases
C. translate
D. entities
E. languages
F. detect
G. sentiment

Answer

B. keyphrases
D. entities
E. languages
F. detect

Explanation

Text Analytics is a part of Natural Language Processing. It includes the following services:

Sentiment analysis, Key phrase extraction, Entity recognition, and Language detection.

When you make Text Analytics API call, you use the following expressions for each of the services, for example, if your Cognitive services are in the West US region:

https://westus.api.cognitive.microsoft.com/text/analytics/v3.0/sentiment
https://westus.api.cognitive.microsoft.com/text/analytics/v3.0/keyPhrases
https://westus.api.cognitive.microsoft.com/text/analytics/v3.0/languages
https://westus.api.cognitive.microsoft.com/text/analytics/v3.0/entities/recognition/general
All other options are incorrect.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump