The Big Data Virtual Chapter provides a community for SQL Server professionals to learn about the use of Microsoft SQL Server software with Hadoop and related technologies.

Microsoft is making significant investments to create the next gen ‘Big Data’ Platform. The goal of the Big Data Virtual Chapter is provide a PASS community for Microsoft SQL Server professionals to learn about the use of Microsoft SQL Server software with Hadoop and related technologies. Join us to share experiences, problems and solutions, as well as learn new skills for building large-scale Hadoop-based systems using the Microsoft platform.

Next Meeting: Wed, Oct 09 2013

Sentiment Analysis with Big Data

Language: English
Event Type: Online
Online Meeting URL: https://attendee.gotowebinar.com/register/5967418293892155138
RSVPURL: https://attendee.gotowebinar.com/register/5967418293892155138

RECORDING https://attendee.gotowebinar.com/recording/7784306283279523329

When

iCal
UTC : Wed, Oct 09 2013 18:00 - 19:00
Event Time : Wed, Oct 09 2013 14:00 - 15:00 (GMT-05:00) Eastern Time (US & Canada)
Your Local Time: Wed, Oct 09 2013 18:00 - 19:00

Where

http://bigdata.sqlpass.org/
Live Meeting. The URL will display the day of the event

Direction: None

Featured Presentation

Sentiment Analysis with Big Data

Speaker: Paco Gonzalez, Mentor SolidQ

Summary: RECORDING AT: https://attendee.gotowebinar.com/recording/7784306283279523329 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.

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