Microsoft Certified: Azure AI Engineer AssociateImplement natural language processing solutionsMedium
A media company wants to implement a system that automatically generates short, engaging social media posts from lengthy news articles. The posts should capture the essence of the article in a concise format. Which Azure AI Language feature, potentially combined with Azure OpenAI, is most appropriate for this task?
- ANamed Entity Recognition
- BKey Phrase Extraction
- CExtractive Summarization
- DAbstractive Summarization
Show answer & explanationAnswer & explanation
Correct answer: D. Abstractive Summarization
Abstractive Summarization, often powered by generative AI like Azure OpenAI, can create new, coherent sentences that capture the main ideas of an article, which is ideal for generating engaging social media posts. Extractive summarization simply pulls sentences from the original, which may not be as engaging or concise for social media.
Why the other options are wrong
- A. Named Entity Recognition identifies entities but doesn't summarize or generate content.
- B. Key Phrase Extraction identifies important terms but doesn't generate a summary or post.
- C. Extractive Summarization picks existing sentences, which might not be as creative or concise for social media.
Abstractive Summarization
A type of text summarization that generates new phrases and sentences to capture the main idea of the source text, rather than just extracting existing sentences. It often relies on generative AI models.
- Creates summaries that may not contain exact sentences from the original text.
- Requires more advanced NLP models, often LLMs.
- Produces more human-like and coherent summaries, suitable for creative tasks like social media posts.
Memory trick: Summarize text by cutting or creating.