AI-102 Question 174
Select 3You are designing a solution using Azure AI Language to analyze customer reviews for a retail company. The goal is to extract the sentiment of the reviews and identify key phrases, such as product names and features, to understand customer feedback better. Which combination of Azure AI Language capabilities should you use to meet this requirement?
- A
Sentiment analysis
- B
Named Entity Recognition (NER)
- C
Language detection
- D
Key phrase extraction
- E
Text translation
Show answer and explanation
Correct answers: A, B, D
Explanation
To analyze customer reviews effectively, the solution must include sentiment analysis to gauge customer satisfaction, Named Entity Recognition (NER) to identify specific entities such as product names and features, and key phrase extraction to summarize the main topics or ideas mentioned in the reviews. These capabilities together will provide actionable insights into customer feedback, meeting the requirements of the scenario.
- A. Correct.
Sentiment analysis is required to determine the sentiment (positive, negative, or neutral) of the customer reviews.
- B. Correct.
Named Entity Recognition (NER) is essential for identifying specific entities such as product names, brands, or features mentioned in the reviews.
- C. Incorrect.
Language detection is not necessary, as the scenario does not mention handling reviews in multiple languages.
- D. Correct.
Key phrase extraction helps to identify important phrases or keywords in the reviews, such as product features or recurring themes.
- E. Incorrect.
Text translation is not relevant to this scenario because there is no indication that the reviews need to be translated into another language.