<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Mon, 27 Apr 2026 22:38:05 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/usercostumersentiment/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[6 steps to effectively analyze user and customer sentiment]]></title><description><![CDATA["Human beings are emotionally complex beings, and the complexity of human language makes it challenging to analyze desires, intentions, preferences, and opinions. So AI and machine learning models]]></description><link>http://direct.ecency.com/humansentiment/@callersmart/6-steps-to-effectively-analyze-user-and-customer-sentiment</link><guid isPermaLink="true">http://direct.ecency.com/humansentiment/@callersmart/6-steps-to-effectively-analyze-user-and-customer-sentiment</guid><category><![CDATA[humansentiment]]></category><dc:creator><![CDATA[callersmart]]></dc:creator><pubDate>Tue, 25 Oct 2022 03:28:21 GMT</pubDate><enclosure url="https://images.ecency.com/p/3W72119s5BjW4PvRk9nXC1RsHWxNoWjhqsdMpcQqymbyvxXDTqKJ1nJxeBLoXyK4ymWsZVMsGwpsEc2ANn3nT9TQ4E1JuViymxhrsuDfJRRQAxcqthZKzN?format=match&amp;mode=fit" length="0" type="false"/></item></channel></rss>