Microsoft Azure AI Fundamentals (AI-900)Describe AI workloads and considerationsMedium
A municipal government wants to deploy an AI system to analyze social media posts and public forums to gauge citizen sentiment regarding new urban development projects. The goal is to understand public opinion and identify key themes from large volumes of unstructured text data. Which AI workload is most appropriate for this task?
- APredictive Analytics
- BComputer Vision
- CKnowledge Mining
- DAnomaly Detection
Show answer & explanationAnswer & explanation
Correct answer: C. Knowledge Mining
Knowledge Mining is specifically designed to extract information, patterns, and insights from large volumes of unstructured data, such as text from social media and forums, to understand sentiment and identify themes.
Why the other options are wrong
- A. Predictive Analytics forecasts future outcomes, which is not the primary goal here; the goal is to understand current sentiment.
- B. Computer Vision deals with visual data (images/videos), not text.
- D. Anomaly Detection identifies unusual patterns or outliers, not general sentiment or themes.
Knowledge Mining
An AI workload that combines AI services (like NLP and computer vision) with search technologies to extract insights, relationships, and structured information from large volumes of unstructured data.
- Transforms unstructured data into actionable knowledge.
- Often used for document understanding, sentiment analysis, and content search.
- Leverages various AI services to achieve its goal.
Memory trick: Mining Knowledge Makes Meaningful Insights.