Which NLP technique revolutionized retail sentiment analysis by enabling algorithms to understand the contextual nuances of customer reviews rather than just identifying positive/negative keywords?

Natural Language Processing (NLP) has transformed how retailers understand consumer preferences and behavior. This sophisticated technology analyzes language patterns to extract valuable insights from customer reviews, social media comments, and support interactions. But how well do you understand the cutting-edge applications of NLP in retail analytics? Test your knowledge about this fascinating intersection of linguistics and consumer science!

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BERT (Bidirectional Encoder Representations from Transformers)
TF-IDF (Term Frequency-Inverse Document Frequency)
LDA (Latent Dirichlet Allocation)
Word2Vec