Which mathematical technique is NOT commonly used in retail sentiment analysis algorithms?

The intersection of mathematics and retail analytics has revolutionized how businesses understand customer behavior. From predictive modeling to inventory optimization, mathematical principles drive strategic decision-making in modern retail. This trivia question explores how mathematical concepts are specifically applied in sentiment analysis—a key component of understanding customer feedback and improving retail experiences.

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Naive Bayes classification
Fourier transform signal processing
Recurrent Neural Networks (RNNs)
Term Frequency-Inverse Document Frequency (TF-IDF)