AI-900 Question 205
Single answerA retail company wants to analyze customer feedback from product reviews to identify key entities such as product names, locations, and dates of purchase. Which feature of entity recognition in Azure AI would best help the company achieve this goal?
- A
Extracting structured data from unstructured text
- B
Identifying sentiment in customer reviews
- C
Detecting and categorizing specific entities like names, dates, and locations
- D
Summarizing large volumes of text into key points
Show answer and explanation
Correct answer: C
Explanation
Entity recognition in Azure AI is a feature that identifies and categorizes specific entities (e.g., names, dates, product names) from unstructured text. In this scenario, it would help the retail company extract the desired information from customer reviews, such as product names, locations, and dates of purchase, making it the most suitable option.
- A. Incorrect.
Entity recognition is specifically used for detecting and categorizing entities such as product names, dates, and locations, which is the requirement in this scenario.
- B. Incorrect.
Sentiment analysis is a different feature used to determine the overall sentiment (positive, negative, or neutral) of text, not to extract entities.
- C. Correct.
This option correctly describes the feature of entity recognition, which is to detect and categorize specific entities such as names, dates, and locations.
- D. Incorrect.
Text summarization focuses on condensing large volumes of text into key points and does not perform entity extraction or categorization.