#HOW COME MEDIUM FOR CITATIONS DOESN'T SHOW UP ON MAC FOR MICROSOFT WORD TRIAL#
For example, Amazon Comprehend Medical is a service that uses NLP to extract disease conditions, medications and treatment outcomes from patient notes, clinical trial reports and other electronic health records. This capability is being explored in health conditions that go from cardiovascular diseases to depression and even schizophrenia.
NLP enables the recognition and prediction of diseases based on electronic health records and patient’s own speech.NLP can help you with lots of tasks and the fields of application just seem to increase on a daily basis. In simple terms, NLP represents the automatic handling of natural human language like speech or text, and although the concept itself is fascinating, the real value behind this technology comes from the use cases. Today NLP is booming thanks to the huge improvements in the access to data and the increase in computational power, which are allowing practitioners to achieve meaningful results in areas like healthcare, media, finance and human resources, among others. It is a discipline that focuses on the interaction between data science and human language, and is scaling to lots of industries. Natural Language Processing or NLP is a field of Artificial Intelligence that gives the machines the ability to read, understand and derive meaning from human languages. This way it is possible to detect figures of speech like irony, or even perform sentiment analysis. Nowadays it is no longer about trying to interpret a text or speech based on its keywords (the old fashioned mechanical way), but about understanding the meaning behind those words (the cognitive way). Nevertheless, thanks to the advances in disciplines like machine learning a big revolution is going on regarding this topic. Unstructured data doesn’t fit neatly into the traditional row and column structure of relational databases, and represent the vast majority of data available in the actual world. If you want to scale and analyze several hundreds, thousands or millions of people or declarations in a given geography, then the situation is unmanageable.ĭ ata generated from conversations, declarations or even tweets are examples of unstructured data. In theory, we can understand and even predict human behaviour using that information.īut there is a problem: one person may generate hundreds or thousands of words in a declaration, each sentence with its corresponding complexity. The topic we choose, our tone, our selection of words, everything adds some type of information that can be interpreted and value extracted from it. Everything we express (either verbally or in written) carries huge amounts of information.
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