AI-900 Question 8
Single answerA company wants to automate the process of analyzing customer sentiment from product reviews to improve their services. Which of the following AI workloads would be most suitable for this scenario?
- A
Computer Vision
- B
Natural Language Processing
- C
Anomaly Detection
- D
Recommendation Systems
Show answer and explanation
Correct answer: B
Explanation
Analyzing customer sentiment from product reviews involves working with textual data to extract meaning and understand emotions. This task falls under the domain of Natural Language Processing (NLP), which is specifically designed to handle textual input and analyze linguistic patterns. Other workloads like Computer Vision, Anomaly Detection, and Recommendation Systems are not relevant to this specific scenario.
- A. Incorrect.
Computer Vision is primarily focused on analyzing and processing visual data such as images and videos. It is not suitable for text-based tasks like analyzing customer sentiment.
- B. Correct.
Natural Language Processing (NLP) is the appropriate AI workload for analyzing text data, such as customer reviews, to determine sentiment or extract meaning from written content.
- C. Incorrect.
Anomaly Detection is used to identify outliers or unusual patterns in data, such as detecting fraudulent transactions or system faults. It does not address text analysis or sentiment detection.
- D. Incorrect.
Recommendation Systems are designed to suggest relevant items to users, such as products or content, based on their preferences or behavior. It is not applicable to sentiment analysis.