Which NLP innovation first allowed retailers to accurately analyze sentiment in multilingual product reviews at scale?

Natural Language Processing (NLP) has revolutionized how retail businesses understand customer feedback and optimize their operations. From sentiment analysis of product reviews to chatbots that enhance customer service, linguistic AI technologies have become essential tools for modern retail. This trivia question explores a groundbreaking innovation in retail linguistics that changed how businesses understand customer language patterns.

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BERT (Bidirectional Encoder Representations from Transformers) with cross-lingual transfer learning
Rule-based translation systems with sentiment dictionaries
Statistical machine translation with polarity classification
Word2Vec embeddings with language-specific sentiment lexicons