Which NLP innovation has most significantly improved retail sentiment analysis accuracy in the last decade?

Natural Language Processing (NLP) has transformed how retailers understand customer behavior and preferences. Modern retail AI systems process millions of customer reviews, social media mentions, and support interactions daily to extract valuable insights. This poll tests your knowledge of how language technology is reshaping retail analytics and customer experience.

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BERT (Bidirectional Encoder Representations from Transformers)
Simple keyword frequency counting
Basic Naive Bayes classification
Rule-based parsing systems