Which revolutionary NLP approach dramatically improved retail sentiment analysis accuracy by enabling systems to better understand contextual nuances in customer reviews?

Retail companies increasingly rely on sentiment analysis to understand customer feedback across multiple channels. This technology has evolved significantly in recent years, with major breakthroughs in natural language processing making sentiment analysis more accurate and nuanced. Test your knowledge about how retailers are leveraging linguistic technologies to gain deeper insights into customer opinions and emotions.

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Transformer-based models (like BERT)
Rule-based lexicon filtering
Simple Naïve Bayes classification
TF-IDF vectorization