The pre-built demonstration highlights the capabilities of the package.
ml demo aztext
Here is a sample of the interaction.
==================== Azure Text Analytics ==================== Welcome to a demo of the pre-built models for Text Analytics provided through Azure's Cognitive Services. This service extracts information from text that we supply to it, providing information such as the language, key phrases, sentiment (-1 to 1 as negative to positive), and entities. Press Enter to continue: ==================== Language Information ==================== We will first demonstrate the automated identification of language. Below are a few "documents" in different languages which are passed on to the cloud for processing using the following language API URL: Press Enter to continue: 1 Text as a sample document written in English. This is English (en) with score of 1.0. 2 Este es un document escrito en Español. This is Spanish (es) with score of 1.0. ... ================== Sentiment Analysis ================== Now we look at an analysis of the sentiment of the document/text. This is done so by passing the text of the text on to the sentiment API URL shown below for processing in the cloud. The results are returned as a number between 0 and 1 with 0 being the most negative and 1 being the most positive. Press Enter to continue: 1 I had a wonderful experience! Rooms were wonderful and staff helpful. This has a sentiment rating of 0.94. 2 I had a terrible time at the hotel. The staff was rude and food awful. This has a sentiment rating of -1.00. ... ======== Entities ======== Our final demonstration identifies the entities refered to in the text. As a bonus the API generates a link to Wikipedia for more information! As above, the text is passed on to the cloud through the API at the URL below. ...
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