Which NLP technique revolutionized e-commerce product recommendations by allowing algorithms to understand the contextual meaning of words in customer reviews?

Modern retail recommendation systems increasingly rely on natural language processing (NLP) to understand customer preferences and behavior. This poll explores how linguistic analysis has transformed e-commerce platforms and recommendation algorithms. Test your knowledge of how language technology drives retail innovation and personalization!

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• Word embeddings (Word2Vec, GloVe)
• Named Entity Recognition (NER)
• Part-of-speech (POS) tagging
• Syntactic parsing

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