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hero image
Using C# and Azure Text Analytics Sentiment Analysis To Respond To Customer Complaints

I’m a dev. I just make apps. I only deal with customers when something breaks and my support teams can’t fix it. They’re just an annoyance, right? Wrong. I’m going to show you how Azure Cognitive Services Text Analytics Sentiment Analysis can help you retain customers and look good while you’re doing it. Anyone who has worked in a customer service related field will tell you that it’s far less expensive to keep an existing customer happy than it is to win a new customer to your product or service. This is an unavoidable fact and yet so many companies get it wrong. They put little effort into their existing customers until it is too late. Another fact is that all of these customers have friends and social media accounts of their own. And they will share that experience, be it good or bad, to the detriment or glorious success of your company. One lost existing customer is 100 customers who will never even give your product a try. One mad customer that you’ve made happy and kept around is 10 potentially new customers who will be willing to give you a try. (Yeah, I know, people complain far more than they praise. We’re funny like that.)

  • azure
  • c-sharp
  • dotnet
  • sentiment-analysis
Saturday, June 16, 2018 | 8 minutes Read
hero image
C# Advent Calendar 2017 - Using C# and Azure Cognitive Services Text Analytics to Identify and Relate Text Documents

One of the tasks that developers sometimes face in large companies (or even small ones) is trying to figure out how large sets of data relate to each other. If that data is text based, C# and Microsoft Azure Cognitive Services Text Analytics functions make this extremely easy to accomplish. In this post, I’ll walk through identifying language and parsing out key words and phrases that we can use to help match blocks of text together.

  • azure
  • c-sharp
  • c-advent
  • cognitive-services
  • dotnet
  • text-analytics
Tuesday, December 19, 2017 | 11 minutes Read
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