AI-900 Question 200
Single answerA company wants to analyze customer feedback from product reviews to understand the main topics customers discuss. They plan to use Azure Cognitive Services Text Analytics. Which feature of Text Analytics is best suited for extracting the most important concepts and topics from the reviews?
- A
Sentiment Analysis
- B
Entity Recognition
- C
Key Phrase Extraction
- D
Language Detection
Show answer and explanation
Correct answer: C
Explanation
Key Phrase Extraction is the most appropriate feature for identifying important topics and concepts in customer feedback since it extracts the key phrases that represent the main ideas discussed in the text. Other features, such as Sentiment Analysis or Entity Recognition, serve different purposes and are not suited for this specific task.
- A. Incorrect.
Sentiment Analysis identifies the overall sentiment (positive, negative, or neutral) of the text but does not extract main topics or concepts.
- B. Incorrect.
Entity Recognition identifies specific entities like names, dates, or locations in the text but does not focus on extracting key topics or phrases.
- C. Correct.
Key Phrase Extraction is specifically designed to identify the most relevant and important phrases in the text, making it ideal for extracting main topics.
- D. Incorrect.
Language Detection determines the language of the text but does not provide information about the topics or key phrases.