Which linguistic processing technique is most crucial for retail chatbots to understand when a customer is asking about product returns versus making a complaint?

Retail chatbots have transformed customer service by leveraging sophisticated language processing technologies. These AI assistants need to understand context, nuance, and even detect sentiment to provide effective customer support. But how much do you know about the linguistic technologies powering these retail communication tools? This poll tests your knowledge about the intersection of computational linguistics and retail customer service innovation.

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Named Entity Recognition (NER)
Intent Classification
Part-of-speech tagging
Morphological analysis