AI-102 Question 164
Select 3Your organization wants to analyze recorded customer support video calls to improve service quality. The goal is to extract speaker sentiment, identify key topics discussed, and recognize named entities such as customer names and product names. Which capabilities of Azure AI Video Indexer would you use to achieve this?
- A
Sentiment analysis
- B
Topic inferencing
- C
Optical character recognition (OCR)
- D
Named entity extraction
- E
Video stabilization
Show answer and explanation
Correct answers: A, B, D
Explanation
Azure AI Video Indexer provides multiple AI-driven capabilities for extracting insights from video content. To meet the given goals, sentiment analysis helps identify emotions expressed by speakers, topic inferencing highlights the key discussion points, and named entity extraction identifies specific entities like names and products. These features directly align with the scenario's objectives, while OCR and video stabilization are not applicable for this use case.
- A. Correct.
Sentiment analysis is a capability of Azure AI Video Indexer that can analyze the emotions or sentiments expressed by speakers in the video, which directly supports the goal of analyzing speaker sentiment.
- B. Correct.
Topic inferencing can automatically identify and infer key topics discussed during the video, helping to determine the main subjects covered in the customer support calls.
- C. Incorrect.
Optical character recognition (OCR) extracts text from images or video frames, which is unrelated to analyzing speaker sentiment, topics, or named entities.
- D. Correct.
Named entity extraction identifies and extracts specific entities such as names, locations, or product names, aligning with the goal of recognizing customer names and product names.
- E. Incorrect.
Video stabilization is a feature used to improve video quality by reducing shakiness and is not relevant to extracting insights from the video content.