Which linguistic breakthrough significantly improved retail sentiment analysis systems' ability to detect sarcasm in customer reviews?

Sentiment analysis has transformed how retailers understand customer feedback. Natural Language Processing (NLP) algorithms now decode the emotional tone behind customer reviews, social media mentions, and support interactions. But how well do you know the linguistic technology powering these retail insights? This trivia question explores a key development in how language processing systems interpret customer sentiment in retail environments.

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Contextual word embeddings (like BERT) that understand words in relation to surrounding text
Simple keyword-based lexicons that flag positive and negative terms
Part-of-speech tagging that identifies nouns, verbs, and adjectives
Named entity recognition that identifies specific product mentions