Azure AI Fundamentals Natural Language Processing (NLP) and Speech Technologies Practice Test

The main objective of sentiment analysis is indeed to determine the emotional tone behind a text. This process involves analyzing text data to understand the sentiments expressed, whether they are positive, negative, or neutral. It is widely used in various applications, such as monitoring social media sentiment, customer feedback analysis, and market research, where understanding public opinion is crucial.

Sentiment analysis employs natural language processing techniques to interpret the context and nuances of the language used, allowing organizations to gauge public perception, track brand reputation, and make data-driven decisions based on the sentiments of their audience. By focusing on the emotional content, it provides insights that help in responding effectively to user sentiments, thus forming a vital tool in communications and social analytics.