AI-900 Question 9
Single answerA company wants to implement a solution that can automatically classify customer feedback into categories like 'positive', 'negative', or 'neutral'. Which type of AI workload is most appropriate for this scenario?
- A
Computer vision
- B
Natural language processing
- C
Anomaly detection
- D
Knowledge mining
Show answer and explanation
Correct answer: B
Explanation
The task described requires analyzing customer feedback, which is text data, to classify it into sentiment categories. This is a typical application of natural language processing (NLP), which is an AI workload designed to work with and understand human language in text or speech format.
- A. Incorrect.
Computer vision focuses on analyzing and interpreting visual data, such as images or videos, and is not related to text-based classification tasks.
- B. Correct.
Natural language processing (NLP) is the appropriate AI workload for analyzing and categorizing text-based data, such as customer feedback.
- C. Incorrect.
Anomaly detection is used to identify unusual patterns or deviations in data, such as detecting fraud or system failures, and does not apply to classifying text sentiment.
- D. Incorrect.
Knowledge mining involves extracting insights from large, unstructured data sets, like documents or databases, but it does not specifically focus on text classification or sentiment analysis.