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This is increasingly important in medicine and healthcare, where nlp semantics helps analyze notes and text in electronic health records that would otherwise be inaccessible for study when seeking to improve care. The goal is a computer capable of “understanding” the contents of documents, including the contextual nuances of the language within them. The technology can then accurately extract information 
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It is the driving force behind many machine learning use cases such as chatbots, search engines, NLP-based cloud services. Natural language processing is an area of computer science and artificial intelligence concerned with the interaction between computers and humans in natural language. The ultimate goal of NLP is to help computers understand language as well as we do. It is 
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