Learn how Azure AI Language’s summarization feature identifies and extracts the most relevant information from text. Discover its role in improving data clarity, content relevance, and user experience.
Table of Contents
Question
Which of the following features of Azure AI Language is responsible for extracting sentences that together clearly indicate the most pertinent and relevant data in the source content?
A. Key phrase extraction
B. Entity linking
C. Summarization
D. Opinion mining
Answer
C. Summarization
Explanation
Summarization is the feature of Azure AI Language that is responsible for extracting sentences that together clearly indicate the most pertinent and relevant data in the source content. It specifically aims to condense a piece of text into a shorter version that captures the essential points and main ideas. It does this by:
- Identifying important sentences that convey key information.
- Reducing redundancy while preserving factual accuracy.
- Maintaining the overall meaning and logical flow of the original text.
Key phrase extraction is a feature that identifies the most crucial keywords and phrases within a document but does not necessarily ensure those phrases form complete sentences or accurately convey the main points.
Entity linking is a feature that connects named entities (e.g., people, places, organizations) to external knowledge bases but does not focus on summarizing the main content.
Opinion mining is a feature that extracts opinions and sentiment expressed in text, not the core factual content of the source information.
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