Which NLP innovation dramatically improved retail sentiment analysis accuracy by better understanding contextual language nuances in customer reviews?

Sentiment analysis technology has transformed how brands understand customer feedback. In the language and linguistics field, this technology identifies emotional tones in text by analyzing word choice, syntax, and context. Modern sentiment analysis systems can detect nuanced emotions beyond simple positive/negative classifications, recognize sarcasm, and adapt to industry-specific terminology. This poll tests your knowledge about a pivotal development that revolutionized how retailers analyze customer language patterns.

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BERT (Bidirectional Encoder Representations from Transformers)
TF-IDF (Term Frequency-Inverse Document Frequency)
Latent Dirichlet Allocation (LDA)
Recurrent Neural Networks (RNNs) with Long Short-Term Memory