Which linguistic analysis technique has most significantly improved retail customer sentiment analysis in recent years?

Natural Language Processing (NLP) has revolutionized how retailers understand customer feedback and shopping behaviors. From sentiment analysis of product reviews to voice-activated shopping assistants, language technology is transforming retail analytics. This poll tests your knowledge about how linguistic analysis intersects with retail customer analytics to create smarter, more responsive shopping experiences.

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BERT (Bidirectional Encoder Representations from Transformers) contextual embeddings
Simple keyword frequency counting
Binary sentiment classification (positive/negative only)
Rule-based grammatical parsing