Sentiment Analysis on Social Network Data (Twitter, Facebook, etc.)

Sentiment analysis is a useful service for just about any business.  It is always valuable to know whether your customers are saying positive or negative things about you. 

Microsoft offers three different ways to do sentiment analysis on social network information:

1. There is a service that the Azure ML team has already built that does this, which is exposed as a service you can call: https://datamarket.azure.com/dataset/aml_labs/lexicon_based_sentiment_analysis

2. There is a sample in AzureML on doing sentiment analysis with Twitter data.  This gives you more flexibility to start with their sample and then tweak it to your needs.  Then you would deploy it yourself and call it yourself.  https://gallery.cortanaintelligence.com/Experiment/59e52ed2895144ea964947c950a9c794

3. There is an API in the Microsoft Cognitive Services that does sentiment analysis as well: https://www.microsoft.com/cognitive-services/en-us/text-analytics-api.  You can try it out at https://text-analytics-demo.azurewebsites.net/.