Your question is Analyze EMR and Social Text. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
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?