Linguamatics - Contextual Analysis


A good NLP solution should be able to recognize linguistic entities and extract relationships, and use semantic software to understand and detect the mention of a concept, no matter how it’s expressed in the text—using relevant ontologies to ensure proper understanding of clinical, medical and scientific text. Ideally the solution will allow document region or section searching, and be able to process the important data often contained in complex tables. You also want some level of normalization of the output so you can easily group and visualize data sets, load the results into data warehouses or data lakes, or use them to drive machine learning (ML) models.



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