Microsoft Azure AI Fundamentals (AI-900)Describe features of computer vision workloads on AzureEasy
A financial institution is developing a system to automatically process incoming customer support emails. The system needs to identify the sentiment of each email (positive, negative, or neutral) to prioritize responses. Which Azure AI Computer Vision capability would be most appropriate for this task?
- AImage Classification
- BSentiment Analysis
- COptical Character Recognition (OCR)
- DObject Detection
Show answer & explanationAnswer & explanation
Correct answer: B. Sentiment Analysis
Sentiment analysis is a natural language processing (NLP) capability, not a computer vision capability. The question asks for a computer vision capability, making this a trick question by presenting an NLP option. This question tests understanding of the boundaries of computer vision capabilities.
Why the other options are wrong
- A. Image Classification categorizes entire images, not text sentiment.
- C. Optical Character Recognition (OCR) extracts text from images, but does not analyze its sentiment.
- D. Object Detection identifies and locates objects within an image, which is not relevant for text sentiment.
Computer Vision vs. NLP
Computer Vision focuses on interpreting visual data (images, videos), while Natural Language Processing (NLP) focuses on interpreting textual and spoken language data.
- Computer Vision tasks include object detection, image classification, face recognition.
- NLP tasks include sentiment analysis, text summarization, language translation.
- Some tasks, like OCR, bridge both by extracting text (CV) for further NLP processing.
Memory trick: AI's mind sees and speaks.