Which NLP technique revolutionized retail sentiment analysis by allowing algorithms to understand contextual language nuances across 100+ languages?

Language processing has transformed how retailers understand customer sentiment and shopping behaviors. Advanced natural language processing (NLP) technology has become a cornerstone of retail analytics, helping brands decode customer feedback across multiple languages and dialects. This poll tests your knowledge about how linguistic analysis is shaping modern retail strategies and customer insights.

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BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec sequential embedding
RNN (Recurrent Neural Network) predictive modeling
LSTM (Long Short-Term Memory) sequential analysis