You are working with unstructured text from EMR notes, patient messages, and social media posts. The data contains clinical shorthand, misspellings, abbreviations, and mixed signal quality, so simple keyword rules miss important patterns. You need to turn these texts into usable inputs for analysis, such as extracting entities, classifying documents, or grouping themes.
How would you use natural language processing methodologies to work with EMR data, social media data, and other unstructured data?
