AI-900 Question 206
Single answerA company is using Azure Cognitive Services to analyze customer feedback collected from online reviews. They want to understand overall customer satisfaction and identify areas for improvement. Which feature of sentiment analysis can best support this objective?
- A
Detecting the language of the customer feedback
- B
Assigning a sentiment score to text indicating positive, neutral, or negative sentiment
- C
Identifying named entities such as names, dates, or locations in the feedback
- D
Providing automated translations of customer feedback into different languages
Show answer and explanation
Correct answer: B
Explanation
Sentiment analysis is designed to evaluate the emotional tone of text and assigns a sentiment score that classifies feedback as positive, neutral, or negative. This feature allows businesses to gauge overall customer satisfaction and identify areas for improvement based on the sentiment trends in their feedback data. Language detection, named entity recognition, and translation are unrelated to the goal of understanding customer sentiment.
- A. Incorrect.
While detecting the language of the feedback is a useful feature, it does not directly help in understanding customer satisfaction or sentiment.
- B. Correct.
Sentiment analysis assigns a score to text that indicates whether the sentiment is positive, neutral, or negative. This is directly relevant to understanding overall customer satisfaction and pinpointing areas requiring improvement.
- C. Incorrect.
Named entity recognition focuses on extracting specific entities like names or dates but does not assess customer sentiment or satisfaction.
- D. Incorrect.
Automated translation is helpful for making feedback available in different languages but is unrelated to evaluating customer sentiment.