Key Phrase Extraction is used to identify the main topics or significant concepts in text data, helping organizations understand commonly discussed themes. This is ideal for summarizing large volumes of feedback to pinpoint areas of interest or concern.
Sentiment Analysis determines the emotional tone behind the text but doesn't highlight specific topics.
Named Entity Recognition identifies and classifies specific entities like names of people, organizations, or locations, but may miss broader topics.
Language Detection determines the language of the text and doesn't assist in extracting thematic content.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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