Which natural language processing technique has revolutionized retail sentiment analysis by enabling systems to understand context-dependent opinions in customer reviews?

In today's data-driven retail landscape, language patterns provide crucial insights into consumer behavior. Sentiment analysis of customer reviews, social media comments, and feedback has become an essential tool for retailers to understand their market position and make strategic decisions. But how much do you know about the linguistic technologies powering these retail analytics systems?

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Transformer-based models (like BERT) that capture contextual word relationships
Simple keyword counting algorithms that tally positive and negative words
Grammar-based parsers that analyze sentence structure
Corpus linguistics that compares text to reference collections