For the last several months I’ve been working on an enterprise Dynamics CRM project where one of our goals is to minimize the amount of custom code we write by using North52’s Business Process Activities. I had not been exposed to North52 before working on this project, but I have been pleasantly surprised with how much it has allowed our mostly functional resources to achieve without needing technical assistance. »
Earlier this year I wrote a post that showed how to perform sentiment analysis in Dynamics CRM using Microsoft Azure Text Analytics. Azure Text Analytics makes it incredibly easy to use sentiment analysis (with English text only), but the full Azure Machine Learning offering is much more powerful. In today’s post I will show how to create a custom predictive web service in Azure ML and make predictions with it in Dynamics CRM. »
Last year I created a proof-of-concept solution that showed how to integrate Dynamics CRM with HP Haven OnDemand (then called HP IDOL OnDemand) to perform sentiment analysis and index records to support “find similar” queries. While I was working through the AzureCon challenge a few weeks ago, I thought it would be an interesting exercise to update my sentiment analysis code to work with the Text Analytics offering from the Microsoft Azure Marketplace. »