Which NLP technique revolutionized retail sentiment analysis by allowing algorithms to understand context-dependent expressions like sarcasm and idioms in customer reviews?

Modern retail uses advanced linguistic analysis to understand customer behavior and improve sales. Natural Language Processing (NLP) tools analyze reviews, social media posts, and customer service interactions to gain insights into consumer preferences and sentiment. How much do you know about how language technology is transforming the retail landscape? Test your knowledge with this challenging question about retail sentiment analysis!

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BERT (Bidirectional Encoder Representations from Transformers)
TF-IDF (Term Frequency-Inverse Document Frequency)
BOW (Bag of Words)
LSI (Latent Semantic Indexing)