Which NLP technique revolutionized retail sentiment analysis by allowing algorithms to understand contextual word relationships rather than just identifying positive/negative keywords?

Natural Language Processing (NLP) has dramatically transformed retail sentiment analysis, helping brands understand customer feedback at unprecedented scale. This poll tests your knowledge about how linguistic AI is being deployed in modern retail analytics to decode customer opinions, track brand perception, and improve product positioning through language-based insights. How well do you understand the intersection of linguistics and retail sentiment analysis?

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Word2Vec embeddings
Transformer models (like BERT)
Recursive Neural Networks
Latent Dirichlet Allocation