AI-102 Question 186
Single answerYou are developing an application that analyzes customer feedback submitted through a web form. The feedback is stored in a database, and your goal is to determine the overall sentiment of each feedback entry (positive, negative, neutral) in real time. You are considering using Azure Cognitive Services to accomplish this. Which of the following Azure services and configurations would be the most appropriate to achieve this goal?
- A
Use Azure Text Analytics API with the Sentiment Analysis feature.
- B
Use Azure Machine Learning Studio to train a custom sentiment analysis model.
- C
Use Azure Bot Service to process text and determine sentiment.
- D
Use Azure Speech to Text to transcribe the feedback and determine sentiment.
Show answer and explanation
Correct answer: A
Explanation
The Azure Text Analytics API is the most suitable choice for this scenario because it provides a pre-built Sentiment Analysis feature that allows developers to easily determine the sentiment of input text. It is a quick and efficient solution for analyzing customer feedback without the need for custom model training or additional services.
- A. Correct.
Azure Text Analytics API with the Sentiment Analysis feature is specifically designed to analyze text and determine sentiment accurately. It is a ready-to-use service that fits the described requirement.
- B. Incorrect.
Azure Machine Learning Studio could be used to train a custom sentiment analysis model, but it is not the most efficient or appropriate solution since the Text Analytics API already provides this functionality out of the box.
- C. Incorrect.
Azure Bot Service is designed for building conversational agents and chatbots, not for performing sentiment analysis directly.
- D. Incorrect.
Azure Speech to Text is used for transcribing spoken language into text. While it could be part of a larger pipeline, it is not relevant for analyzing text sentiment in this scenario.