AIF-C01 · Question #318
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?
The correct answer is A. Use a large language model (LLM) to perform natural language processing (NLP) for sentiment. A large language model (LLM) can analyze unstructured text using NLP techniques to accurately determine the sentiment (positive, negative, or neutral) of user feedback. This approach is well- suited for handling large volumes of text data.
Question
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?
Options
- AUse a large language model (LLM) to perform natural language processing (NLP) for sentiment
- BUse a regression algorithm to classify the feedback based on predefined categories. Then,
- CUse a recommendation engine algorithm to detect user sentiment.
- DUse a time series algorithm to predict user sentiment based on past feedback.
How the community answered
(20 responses)- A85% (17)
- C5% (1)
- D10% (2)
Explanation
A large language model (LLM) can analyze unstructured text using NLP techniques to accurately determine the sentiment (positive, negative, or neutral) of user feedback. This approach is well- suited for handling large volumes of text data.
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