According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Describe features of natural language processing (NLP) workloads on Azure," sentiment analysis is an NLP workload that determines the emotional tone or opinion expressed in a piece of text. This could be positive, negative, or neutral sentiment.
When an app analyzes social media posts to identify their tone, it is performing sentiment analysis, since it aims to understand the emotional context behind user-generated text such as tweets, reviews, or comments.
Azure provides this functionality through the Azure Cognitive Services - Text Analytics API, which evaluates text and returns sentiment scores.
Other options are not suitable:
* Key phrase extraction identifies main ideas in text but not tone.
* Entity recognition identifies names of people, organizations, or locations.
* Speech recognition converts spoken words into text, not emotional analysis.
Therefore, analyzing social media tone is an example of sentiment analysis, a key NLP workload in Microsoft' s AI-900 syllabus.