![]() ![]() As in the previous blog, I will be using the public comments from the North Carolina Medicaid Reform of 2016 to create a visualization in the form of word clouds to highlight the common words used by those with positive, negative or neutral sentiments as analyzed by Text Analytics. Using the SDK, I will demonstrate how to use four out of the six functions of Text Analytics to further analyze large unstructured data. ![]() The previous blog used REST APIs to extract the sentiments from comments, however, this blog will use the recently released new SDKs that greatly simplify coding and hide all the complexities in the previous blog. ![]() In this blog, I will expand on how Text Analytics API Version 3 Preview of the Microsoft Azure Cognitive Services can be used to further extract more information like the key phrases out of the comments. In a previous blog, Using Azure Cognitive Services Text Analytics API Version 3 Preview for Sentiment Analysis, App Dev Manager Fidelis Ekezue demonstrated how to use the Text Analytics AP Version 3 to analyze the sentiment expressed in the Public Comments of the 2016 North Carolina’s Medicaid Reform.
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