AI-900 Question 198
Single answerA retail company wants to analyze customer feedback provided in text format to identify the main topics customers frequently mention. Which feature of key phrase extraction makes it suitable for this use case?
- A
Extracting the most relevant words or phrases from text data
- B
Translating customer feedback into multiple languages
- C
Summarizing the entire text into a concise paragraph
- D
Identifying the sentiment of the text, such as positive or negative
Show answer and explanation
Correct answer: A
Explanation
Key phrase extraction helps identify the most relevant terms or phrases within a body of text. In this scenario, it enables the retail company to pinpoint the main topics customers talk about in their feedback, which can guide decision-making and improvements. Other features, like translation or sentiment analysis, serve different purposes and are not relevant to identifying key topics.
- A. Correct.
Correct. Key phrase extraction is designed to identify the most relevant words or phrases in text, making it suitable for understanding main topics or themes in customer feedback.
- B. Incorrect.
Incorrect. Key phrase extraction does not involve language translation. Features like Azure Translator would handle such tasks.
- C. Incorrect.
Incorrect. Key phrase extraction focuses on identifying important terms or phrases, not summarizing entire documents. Text summarization is a separate feature in natural language processing.
- D. Incorrect.
Incorrect. While sentiment analysis is useful for determining the emotional tone of text, it is not the purpose of key phrase extraction.