Which NLP innovation first allowed digital marketers to automatically detect customer sentiment across multiple languages simultaneously?

Natural Language Processing (NLP) has transformed how brands communicate with their audience across different languages and cultures. This technology enables sophisticated understanding of customer intent, sentiment analysis, and personalized marketing at scale. As language technology evolves, marketing strategies must adapt to leverage these linguistic innovations. Test your knowledge about the intersection of computational linguistics and digital marketing!

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Cross-lingual sentiment embeddings (2018)
Grammatical mood detection algorithms (2015)
Multilingual tokenization frameworks (2010)
Phrase-based machine translation (2006)