Which NLP innovation most dramatically improved retail chatbots' ability to understand the semantic meaning behind customer queries rather than just recognizing keywords?

Natural Language Processing (NLP) has transformed how retail chatbots communicate with customers. Modern linguistic algorithms allow chatbots to understand context, sentiment, and even cultural nuances in customer queries. This poll tests your knowledge about a significant linguistic breakthrough that revolutionized retail chatbot capabilities and made them dramatically more responsive to natural human language patterns.

This is a live public trivia poll on AIPolls.Net. Vote and see real-time results.

BERT (Bidirectional Encoder Representations from Transformers)
Simple recurrent neural networks (RNNs)
Basic word2vec embeddings
Rule-based sentiment analysis