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AI-900: Enhancing Data Analysis: When to Use Key Phrase Extraction in Different Scenarios

Discover the optimal scenarios for utilizing key phrase extraction as a powerful data analysis tool. Explore its applications in translating documents, generating video captions, sentiment analysis of restaurant reviews, and identifying related documents. Unlock the potential of key phrase extraction to extract valuable insights and streamline various data-driven tasks.

Question

In which scenario should you use key phrase extraction?

A. translating a set of documents from English to German
B. generating captions for a video based on the audio track
C. identifying whether reviews of a restaurant are positive or negative
D. identifying which documents provide information about the same topics

Answer

D. identifying which documents provide information about the same topics

Explanation

The correct answer is D. identifying which documents provide information about the same topics.

Key phrase extraction is a feature of Azure AI Language that allows you to quickly identify the main concepts in text. For example, in the text “The food was delicious and there were wonderful staff”, key phrase extraction will return the main topics: “food” and “wonderful staff”.

This feature can be useful if you need to analyze a large collection of documents and find out which ones are related to the same topics. By extracting the key phrases from each document, you can compare them and group them based on their similarity. For example, you can use key phrase extraction to identify which news articles are about the same events, which research papers are about the same fields, or which product reviews are about the same features.

The other scenarios are not suitable for key phrase extraction, because they require different types of natural language processing features. For example:

  • Translating a set of documents from English to German requires a language translation feature, which can convert text from one language to another while preserving the meaning and context.
  • Generating captions for a video based on the audio track requires a speech-to-text feature, which can transcribe spoken words into written text, and a text summarization feature, which can condense long text into shorter sentences.
  • Identifying whether reviews of a restaurant are positive or negative requires a sentiment analysis feature, which can evaluate the tone and emotion of text and assign a polarity score ranging from negative to positive.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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