Which NLP model revolutionized retail product search by introducing the 'attention mechanism' that better understood contextual language relationships?

Natural Language Processing (NLP) has transformed how retailers understand customer feedback and preferences. From sentiment analysis of product reviews to automated translation for global markets, linguistic technology powers modern retail experiences. This poll tests your knowledge about a groundbreaking NLP innovation that changed how language is processed in retail applications.

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• BERT (Bidirectional Encoder Representations from Transformers)
• Word2Vec (Word to Vector)
• GloVe (Global Vectors for Word Representation)
• FastText

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