Which linguistic analysis technique has most significantly improved retail customer sentiment analysis in the past five years?

In the evolving world of retail customer analytics, linguistic analysis plays a crucial role in understanding consumer behavior. Natural Language Processing (NLP) technologies have revolutionized how retailers interpret customer feedback, reviews, and social media mentions. This trivia question tests your knowledge about cutting-edge applications of linguistic technology in retail analytics that are transforming how brands understand their customers.

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Transformer-based models (like BERT) that understand contextual language nuances
Basic keyword frequency counting across customer reviews
Dictionary-based sentiment scoring using predefined emotion lexicons
Simple part-of-speech tagging to identify adjectives in customer feedback