Which scientific field's methodologies were first adapted to develop modern retail sentiment analysis algorithms used in major e-commerce platforms?

The intersection of science and retail has created powerful new ways to understand consumer behavior. Advanced sentiment analysis tools now allow retailers to process vast amounts of customer feedback data using sophisticated algorithms derived from scientific research. This poll tests your knowledge about how scientific methods have transformed retail analytics and decision-making.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

Computational neuroscience, with neural networks modeled after brain function
Quantum physics, with uncertainty principles applied to consumer behavior patterns
Evolutionary biology, with genetic algorithms modeling consumer preference evolution
Atmospheric science, with weather prediction models adapted for trend forecasting