In which decade did sentiment analysis tools first become widely adopted by major retailers for analyzing customer reviews and social media feedback?

The field of linguistics has dramatically transformed how retailers understand their customers. Sentiment analysis—the computational study of opinions, sentiments, and emotions expressed in text—has become a cornerstone of modern retail analytics. But do you know when this linguistic technology first became commercially viable for retail applications? Test your knowledge about this fascinating intersection of language processing and consumer insight that has revolutionized how brands connect with their audiences.

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1990s, alongside early e-commerce platforms
2000s, following advances in natural language processing and machine learning
2010s, when social media analytics became sophisticated enough
1980s, using early computational linguistics techniques