Analyze sentiment of website comments in a web application using ML Net ...

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This is part 4 (last) part of the tutorials on sentiment analysis using ML.NET model builder. In this tutorial, we modify the web page to show the sentiments. JavaScript functions are added to make HTTP GET request to the handler with the user text, update the marker position dynamically as per the sentiment text. Also, an event handler function in JS is created that sends the user input to the OnGetAnalyzeSentiment page handler method using the earlier mentioned function to make HTTP GET request and update the marker on the web page using the second-mentioned function.
This event handler is registered to work on the event of a change, an input and a paste in the text area.
#sentimentanalysis
#modelbuilder
#mlnet
#machinelearning

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