AI-102 Question 171
Select 2A retail company wants to analyze customer reviews for their products to identify sentiment and extract key phrases. They are planning to use Azure AI Language service. Which combination of features should they use to achieve this?
- A
Sentiment Analysis
- B
Entity Recognition
- C
Key Phrase Extraction
- D
Language Detection
- E
Entity Linking
Show answer and explanation
Correct answers: A, C
Explanation
The combination of Sentiment Analysis and Key Phrase Extraction is ideal for this scenario. Sentiment Analysis will help the company determine the tone of customer reviews, while Key Phrase Extraction will allow them to summarize the most important aspects of the reviews. Other features like Entity Recognition, Language Detection, and Entity Linking are not necessary for the stated objectives.
- A. Correct.
Sentiment Analysis is used to determine whether the sentiment of the text (e.g., a customer review) is positive, negative, or neutral. This is directly relevant to the company's goal of understanding customer opinions.
- B. Incorrect.
Entity Recognition identifies specific entities like names, dates, and locations in the text. However, the scenario does not indicate a need for identifying such entities, so this feature is not required.
- C. Correct.
Key Phrase Extraction is used to extract important phrases from the text, such as keywords that summarize the content. This aligns with the company's goal to extract key phrases from customer reviews.
- D. Incorrect.
Language Detection identifies the language of the input text. While useful in multilingual scenarios, there is no indication in the scenario that this is necessary for the company's analysis.
- E. Incorrect.
Entity Linking connects recognized entities in the text to external knowledge bases. This is not relevant to the company's goal of analyzing sentiment and extracting key phrases.