Which NLP technique revolutionized retail sentiment analysis by allowing algorithms to better understand the contextual meaning of words like 'sick' or 'killing it' in customer reviews?

Natural Language Processing (NLP) has transformed how retailers understand customer feedback. Advanced linguistic algorithms now parse through millions of reviews, social media posts, and customer service interactions to extract valuable sentiment data. This poll tests your knowledge of how language technology is being leveraged in retail sentiment analysis - a crucial intersection of computational linguistics and business intelligence that drives product development and customer experience improvements.

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Word embeddings (like Word2Vec and GloVe)
Regular expression pattern matching
Simple keyword frequency analysis
Basic part-of-speech tagging