Which NLP technique revolutionized retail search engines around 2019 by dramatically improving understanding of customer queries?

Natural Language Processing (NLP) and machine learning have transformed how retailers understand customers and personalize experiences. From sentiment analysis of reviews to sophisticated recommendation engines that interpret search behavior, language technology drives modern retail. Test your knowledge about how linguistic analysis and AI are reshaping the retail landscape through advanced consumer understanding.

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BERT (Bidirectional Encoder Representations from Transformers)
Word2Vec embeddings
RNN (Recurrent Neural Networks)
GloVe (Global Vectors for Word Representation)