Which NLP technique has most revolutionized retail sentiment analysis by enabling computers to understand context and nuance in customer feedback?

Natural Language Processing (NLP) has transformed how retailers understand consumer sentiment and behavior. Advanced linguistic algorithms now analyze millions of customer reviews, social media posts, and support interactions to extract valuable insights. This trivia question explores how modern retailers are leveraging language technology to gain competitive advantage in understanding customer needs and preferences.

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Transformer-based models (like BERT and GPT) that understand contextual word relationships
Basic keyword counting that tallies positive and negative words in reviews
Simple rule-based systems that categorize text based on predefined patterns
N-gram analysis that examines fixed sequences of adjacent words