Microsoft Azure AI Fundamentals AI-900 Practice Question
You are a data scientist at an e-commerce company that has collected thousands of customer reviews. Management wants to understand the main topics customers are discussing to improve product development and customer service.
Which Azure AI service feature should you use to extract the important topics and themes from the customer reviews?
Key Phrase Extraction is used to identify the most significant terms and phrases within text data, helping to highlight the main topics and themes discussed. This feature enables organizations to quickly gain insights into large volumes of text by focusing on the key concepts mentioned.
Sentiment Analysis determines the emotional tone (positive, negative, neutral) of the text but does not extract specific topics.
Entity Recognition identifies and categorizes specific entities such as names, places, and organizations but may not capture the overall topics or themes.
Language Modeling predicts the likelihood of a sequence of words and is used for tasks like text generation, not topic extraction.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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