Which natural language processing breakthrough dramatically improved retail sentiment analysis accuracy by introducing contextual understanding of customer reviews in 2018?

In the evolving world of retail, sentiment analysis has become a crucial tool for understanding customer feedback and improving business operations. Linguistic algorithms now power many retail decisions, from product development to customer service strategies. This poll tests your knowledge about a significant innovation in how language processing transformed retail sentiment analysis, marking a turning point in how businesses interpret customer language patterns.

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BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec embedding technology
GPT (Generative Pre-trained Transformer)
LSTM (Long Short-Term Memory) networks