Which linguistic technique revolutionized retail chatbots by allowing them to better understand the semantic meaning behind customer queries rather than just recognizing keywords?

Modern retail chatbots use sophisticated natural language processing technologies to understand and respond to customer queries. The linguistic capabilities of these AI assistants have evolved dramatically over the years, incorporating everything from sentiment analysis to cultural context understanding. This poll tests your knowledge about the linguistic foundations of today's retail chatbot technologies.

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Vector space embedding (representing words as mathematical vectors based on context)
Syntactic parsing (analyzing grammatical structure of sentences)
Phonetic analysis (interpreting speech sounds and patterns)
Lexical chunking (breaking text into labeled segments)