Sentiment Analysis in Microsoft Dynamics CRM Using Azure Text Analytics
Inside any organization's Microsoft Dynamics CRM system, there is a wealth of raw data that can be turned into actionable intelligence if it can be effectively analyzed. This data can be found in emails, case notes, attachments and other records that are created and stored in the course of day-to-day business.
In this webcast Lucas Alexander, Dynamics CRM technical architect at Tribridge, will show how a custom integration with Microsoft Azure Machine Learning can be used to perform sentiment analysis on any data stored in Dynamics CRM. Custom sentiment analysis integrations can enable a number of interesting processes in Dynamics CRM including:
- Routing emails to queues based on sentiment
- Dynamically load agent scripts
- Reporting on interactions
This webinar will include an introduction to Azure Machine Learning, an overview of a sample solution and a code deep dive. Programming knowledge will be helpful during the code deep dive, but it is not required for most of the discussion.