Which NLP innovation did Amazon first implement in 2012 that dramatically improved its product recommendation system by analyzing linguistic patterns in reviews?

The intersection of linguistics and e-commerce has led to fascinating innovations in how products are presented and recommended to consumers. Language processing algorithms now power many of the systems we interact with daily when shopping online. This poll tests your knowledge about a groundbreaking linguistic technology that revolutionized product recommendations.

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BERT (Bidirectional Encoder Representations from Transformers) analysis of product reviews
Sentiment Analysis for personalized recommendations based on emotional language in user reviews
WordNet semantic relationship mapping for cross-category recommendations
GPT-based autocomplete for search queries with product suggestions