AI-900 exam dumps

AI-900 practice question 233 of 286

Microsoft Azure AI Fundamentals. Free level, Microsoft. Free question with the correct answer and a full explanation.

AI-900 Question 233

Select 3

A company wants to use Azure AI Language service to analyze customer feedback collected from various channels. They would like to extract key phrases, determine customer sentiment, and identify named entities such as product names and locations. Which capabilities of Azure AI Language service should they use?

  1. A

    Named Entity Recognition

  2. B

    Sentiment Analysis

  3. C

    Optical Character Recognition

  4. D

    Key Phrase Extraction

  5. E

    Text-to-Speech Conversion

Show answer and explanation

Correct answers: A, B, D

Explanation

Azure AI Language service offers capabilities like Named Entity Recognition, Sentiment Analysis, and Key Phrase Extraction, which collectively enable the analysis of textual customer feedback. These features allow organizations to gain insights into customer sentiment, extract key information, and identify entities within the feedback. However, features like OCR and Text-to-Speech Conversion are part of other Azure services and do not belong to Azure AI Language capabilities.

  • A. Correct.

    Named Entity Recognition is used to identify specific entities like product names, locations, or dates in text, which is essential for understanding customer feedback.

  • B. Correct.

    Sentiment Analysis helps to determine the overall sentiment (positive, negative, or neutral) expressed in the customer feedback.

  • C. Incorrect.

    Optical Character Recognition (OCR) is used to extract text from images or scanned documents and is not part of Azure AI Language capabilities.

  • D. Correct.

    Key Phrase Extraction identifies important keywords or phrases from the text, which is useful for summarizing customer feedback.

  • E. Incorrect.

    Text-to-Speech Conversion is part of Azure Speech services, not Azure AI Language service.

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