<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>idol-ondemand on Alexander Development</title><link>https://alexanderdevelopment.net/tag/idol-ondemand/</link><description>Recent content in idol-ondemand on Alexander Development</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Mon, 29 Sep 2014 00:00:00 +0000</lastBuildDate><atom:link href="https://alexanderdevelopment.net/tag/idol-ondemand/index.xml" rel="self" type="application/rss+xml"/><item><title>Using IDOL OnDemand for text analysis in Dynamics CRM - part 3</title><link>https://alexanderdevelopment.net/post/2014/09/29/using-idol-ondemand-for-text-analysis-in-dynamics-crm-part-3/</link><pubDate>Mon, 29 Sep 2014 00:00:00 +0000</pubDate><guid>https://alexanderdevelopment.net/post/2014/09/29/using-idol-ondemand-for-text-analysis-in-dynamics-crm-part-3/</guid><description>In my last post I provided a detailed walkthrough of how to perform sentiment analysis on incoming emails received in Microsoft Dynamics CRM by parsing them with HP IDOL OnDemand’s sentiment analysis API and then storing the calculated sentiment values on the email records. In today’s post, I will show a similar, but slightly more complex integration that enables &amp;ldquo;find similar&amp;rdquo; functionality for emails stored in Dynamics CRM.</description></item><item><title>Using IDOL OnDemand for text analysis in Dynamics CRM - part 2</title><link>https://alexanderdevelopment.net/post/2014/09/24/using-idol-ondemand-for-text-analysis-in-dynamics-crm-part-2/</link><pubDate>Wed, 24 Sep 2014 00:00:00 +0000</pubDate><guid>https://alexanderdevelopment.net/post/2014/09/24/using-idol-ondemand-for-text-analysis-in-dynamics-crm-part-2/</guid><description>In my last post I provided an overview of HP IDOL OnDemand and discussed a couple of things you can do with it to process and analyze data stored in a Microsoft Dynamics CRM instance. Today I&amp;rsquo;ll provide a detailed walkthrough of how perform sentiment analysis on incoming emails using IDOL OnDemand.</description></item><item><title>Using IDOL OnDemand for text analysis in Dynamics CRM - part 1</title><link>https://alexanderdevelopment.net/post/2014/09/19/using-idol-ondemand-for-text-analysis-in-dynamics-crm-part-1/</link><pubDate>Fri, 19 Sep 2014 00:00:00 +0000</pubDate><guid>https://alexanderdevelopment.net/post/2014/09/19/using-idol-ondemand-for-text-analysis-in-dynamics-crm-part-1/</guid><description>Inside any organization&amp;rsquo;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.</description></item></channel></rss>