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Cognitive computing and AI are altering the way big data are processed and integrated. New natural language processing (NLP) platforms are emerging for biologists in other fields and in metabolomics. NLP provides literature-based contextualization of spectral and metabolic features that decreases the time and expert-level subject knowledge required during the prioritization, identification, and interpretation steps in the metabolomics data analysis pipeline.
