AI-900 Question 210
Select 2A retail company wants to analyze customer feedback from product reviews to identify trends in customer satisfaction. Which of the following features and uses of sentiment analysis would help them achieve this goal?
- A
Classify customer feedback as positive, negative, or neutral
- B
Identify specific topics or keywords frequently mentioned in reviews
- C
Measure the overall emotional tone of customer feedback over time
- D
Automatically translate reviews into multiple languages
- E
Provide recommendations for new product features based on feedback
Show answer and explanation
Correct answers: A, C
Explanation
Sentiment analysis focuses on assessing and categorizing the emotional tone of text data, such as customer reviews, into positive, negative, or neutral sentiments. This allows businesses to measure customer satisfaction and track changes over time. However, other tasks like identifying keywords or translating text are not directly part of sentiment analysis but may complement it when combined with other AI tools.
- A. Correct.
Sentiment analysis can classify feedback into categories such as positive, negative, or neutral, which helps the company understand general customer satisfaction trends.
- B. Incorrect.
While identifying topics or keywords can be useful, this feature is not a core capability of sentiment analysis but rather of text analytics or keyword extraction.
- C. Correct.
Sentiment analysis can help measure the emotional tone of feedback over time, enabling the company to track changes in customer satisfaction.
- D. Incorrect.
Translation of text into multiple languages is not a feature of sentiment analysis but rather falls under the domain of language translation services.
- E. Incorrect.
Providing recommendations for new product features is not directly achieved through sentiment analysis. This would require additional analysis or AI features such as predictive modeling.