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Aspect-code switching boosts cross-lingual sentiment analysis performance, achieving state-of-the-art results across multiple languages and domains.
LLMs struggle with the subtleties of Czech sentiment, but a new dataset and LLM-powered translation-alignment method offers a path to better cross-lingual ABSA.