AI-900 Question 201
Select 2A retail company wants to analyze customer feedback from product reviews to identify mentions of product names, company names, and locations. Which of the following describes how Azure AI can help achieve this goal using entity recognition?
- A
It can extract specific entities such as product names, company names, and locations from the text.
- B
It can provide sentiment analysis to determine if the feedback is positive, neutral, or negative.
- C
It can identify relationships between entities, such as linking a product name to a customer’s location.
- D
It can automatically translate the feedback into multiple languages for global analysis.
- E
It can classify the text into predefined categories such as 'Product Issue' or 'Customer Praise'.
Show answer and explanation
Correct answers: A, C
Explanation
Entity recognition in Azure AI is specifically designed to extract and identify named entities from text, such as product names, company names, and locations. It also enables identifying relationships between these entities when they are contextually linked. This capability is ideal for analyzing unstructured text, like customer feedback, to gain insights into specific mentions and their associations.
- A. Correct.
Correct. Entity recognition in Azure AI is designed to extract specific entities like product names, company names, and locations from text.
- B. Incorrect.
Incorrect. Sentiment analysis is a separate feature in Azure AI, unrelated to entity recognition, which focuses on extracting entities rather than analyzing sentiment.
- C. Correct.
Correct. Entity recognition can identify and relate entities, such as associating a product name with a location, which is useful for contextual understanding.
- D. Incorrect.
Incorrect. Translating text is not a function of entity recognition. Translation is a separate Azure AI capability handled by Azure Translator.
- E. Incorrect.
Incorrect. Classifying text into categories is a feature of text classification models, not entity recognition.