Which linguistic analysis technique has most dramatically improved sentiment analysis accuracy in retail customer reviews over the past decade?

In the world of retail, understanding customer language patterns has become a crucial competitive advantage. Linguistic analysis of customer interactions, reviews, and social media engagement provides retailers with deeper insights into sentiment, preferences, and emerging trends. This poll explores how language technologies are revolutionizing retail analytics and customer experience optimization.

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BERT (Bidirectional Encoder Representations from Transformers) contextual embeddings
Basic keyword frequency counting
Simple rule-based polarity detection
Manually coded lexical databases