AWS Certified AI Practitioner (AIF-C01) — Question 311

A company receives a large amount of unstructured user feedback in text format. The company wants to analyze the sentiment of the user feedback. Which solution will meet these requirements?

Answer options

• A. Use a large language model (LLM) to perform natural language processing (NLP) for sentiment analysis.
• B. Use a regression algorithm to classify the feedback based on predefined categories. Then, analyze user sentiment.
• C. Use a recommendation engine algorithm to detect user sentiment.
• D. Use a time series algorithm to predict user sentiment based on past feedback.

Correct answer: A

Explanation

Analyzing unstructured text for sentiment requires natural language processing (NLP), which large language models (LLMs) are specifically designed to handle effectively. Regression algorithms are used for predicting continuous numerical values, recommendation engines suggest items to users, and time series algorithms analyze sequential, time-dependent data, making options B, C, and D unsuitable for directly extracting sentiment from raw text.