Microsoft Azure AI Fundamentals (AI-900) Practice Exam

What type of AI is used to predict the sentiment of a social media post?

1. Natural language processing

2. Machine learning (Regression)

3. Anomaly detection

4. Computer vision

The correct answer is: Natural language processing

Natural language processing (NLP) is the correct choice for predicting the sentiment of a social media post because it involves the ability of a computer system to understand, interpret, and respond to human language in a valuable way. Sentiment analysis, which determines the emotional tone behind a series of words, is a common application of NLP. By analyzing text data, such as social media posts, NLP can classify sentiments as positive, negative, or neutral, providing insights into public opinion and emotional responses. Machine learning regression focuses on predicting a continuous outcome rather than interpreting textual data, making it less suited for sentiment analysis directly. Anomaly detection is about identifying rare items, events, or observations that raise suspicions by differing significantly from the majority of the data, and it does not pertain to understanding sentiment in text. Computer vision deals with image and video data, which is unrelated to text-based sentiment analysis. Therefore, natural language processing is the most appropriate choice for this purpose.