Which natural language processing technique is most commonly used in retail sentiment analysis to identify emotional responses to scientific products?

Sentiment analysis has revolutionized how science-focused retail companies understand customer reactions to complex products. From laboratory equipment to pharmaceutical consumer goods, analyzing customer sentiment helps R&D departments refine their offerings. Test your knowledge about how sentiment analysis algorithms are transforming science retail!

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BERT (Bidirectional Encoder Representations from Transformers) contextual embeddings
Simple keyword counting without context analysis
ELIZA-style pattern matching from the 1960s
Binary classification based solely on star ratings