Microsoft Azure AI Fundamentals (AI-900)Describe features of Natural Language Processing (NLP) workloads on AzureMedium
A content moderation team needs to quickly identify the primary topics discussed in long user-generated comments without reading each one entirely. Which Azure NLP capability would be most effective for extracting the most important concepts or phrases?
- APersonally Identifiable Information (PII) Detection
- BText Classification
- CKey Phrase Extraction
- DLanguage Detection
Show answer & explanationAnswer & explanation
Correct answer: C. Key Phrase Extraction
Key Phrase Extraction identifies the main concepts or topics within a document, allowing the moderation team to quickly grasp the essence of long comments without reading them in full.
Why the other options are wrong
- A. PII Detection identifies sensitive personal information, which is unrelated to finding main topics.
- B. Text Classification assigns predefined categories, but the goal here is to find the 'primary topics' as phrases, not to categorize the whole text.
- D. Language Detection identifies the language, not the topics.
Key Phrase Extraction
Key Phrase Extraction is an NLP capability that identifies the main points and principal concepts from unstructured text.
- Helps in summarizing content and understanding themes.
- Often used in conjunction with search and content organization.
- Outputs a list of relevant phrases from the text.
Memory trick: Key Phrases Reveal Core Ideas.