(B) Sentiment Analysis — It analyzes customer reviews to determine whether opinions are positive, negative, or neutral, making it the most suitable for understanding customer satisfaction levels.
Source: Applications of Natural Language Processing, Chapter 6
Examiners expect you to directly choose (B) Sentiment Analysis and justify it briefly in one line. Remember: Sentiment Analysis specifically detects emotions/opinions in text (positive/negative/neutral), which directly maps to "satisfaction levels." Text classification categorizes documents, keyword extraction finds key terms, and language translation converts languages — none specifically measure satisfaction.