Which mathematical technique is MOST commonly used in retail sentiment analysis to quantify the emotional tone of customer reviews and social media mentions?

In the intersection of mathematics and retail, advanced analytics plays a crucial role in understanding consumer behavior. Mathematical models help retailers decode patterns in purchasing decisions, predict trends, and optimize marketing strategies. This trivia question explores how mathematical concepts are applied in retail sentiment analysis to transform raw data into actionable insights that drive business decisions.

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Bayesian probability models that calculate the likelihood of positive vs. negative sentiment based on word occurrence patterns
Fibonacci sequences that map emotional responses along a numerical pattern to identify sentiment trends over time
Euclidean geometry algorithms that plot customer sentiment in three-dimensional space relative to product attributes
Pascal's triangle calculations that determine statistical significance of sentiment patterns across demographic segments