Which NLP breakthrough technology allowed retailers to first accurately analyze customer sentiment across multiple languages simultaneously?

The intersection of language technology and retail analytics has transformed how companies understand customer behavior. Natural Language Processing (NLP) tools now analyze customer reviews, social media conversations, and support interactions at unprecedented scale. This poll tests your knowledge about how linguistic analysis has revolutionized retail data interpretation and customer insights.

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BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec embedding models
RNN (Recurrent Neural Network) sequence models
GloVe (Global Vectors for Word Representation)