Event Type: Online
Online Meeting URL: https://attendee.gotowebinar.com/register/5967418293892155138
Event Time : Wed, Oct 09 2013 14:00 - 15:00 (GMT-05:00) Eastern Time (US & Canada)
Live Meeting. The URL will display the day of the event
Summary: People’s sentiments and opinions are written in social networks. There are tweets, Facebook posts, book reviews, forum discussions, and more. These attitudes and feelings are communicated using text, with the format depending on the social network. Twitter messages are limited to 140 characters and use hashtags, for example; Facebook messages can be longer. This session reviews the different Natural Language Processing, text mining, and data mining techniques you can use for sentiment and tone analysis. Organizations can use the extracted knowledge for brand reputation, market predictions, and automatic learning. We’ll look at, Hadoop, data mining, and Microsoft Big Data Hadoop distribution HDInsight.
About Paco: Paco Gonzalez, who works for SolidQ, earned his Master’s degree at the University of Murcia, Spain, and Kennesaw State University, GA. Now he combines his work at SolidQ with his PhD thesis, “Analyzing Social Data.” He is an MCT and MCP Certified on BizTalk Server and SQL Server and works in the integration and BI fields at SolidQ. Paco is the Pass BigData virtual chapter Leader. He is coauthor of Microsoft Training Kit 441.