Workshops: Customer Intelligence, Social Media Measurement, and Sentiment Analysis

SAS14-300x250I wanted to alert Online MR members to a unique conference, the Sentiment Analysis Symposium (, March 5-6, 2014 in New York. Four half-day workshops, paired in a business track and a technical track, will be of particular interest. They and the symposium’s conference day will teach you how to discover business value in emotion, intent, and connection, expressed online, on-social, and in enterprise sources. (Save up to $200 with early registration by January 25. Group members get an extra 10% off with the ID Code FOAF.)

The first business-track workshop is The Insider’s Guide to Social Media Measurement, taught by Stephen Rappaport, a consultant and subject-matter expert with the Advertising Research Foundation. Stephen is author of the 2011 book Listen First. His “Digital Metrics Field Guide” will be coming out soon. In Stephen’s words, we need to “recognize data points not merely as impersonal dots on a trend line, percentage changes, or ratios. They capture what people say, do and feel in real time. Once we view digital metrics as reflecting individuals, they become characters we employ to craft compelling narratives about people and brands.”

The Road to Customer Intelligence: Data, Analytics, Insight will be taught by Steve Ramirez, CEO of consultancy Beyond the Arc. Steve says, “Customer intelligence is the key to deeper and more profitable customer relationships, an essential asset for strategic, competitive decision making. The workshop will offer a thorough, practical look at elements that business analysts, managers, and executives must master to compete in today’s hyper-competitive, high-velocity, Big Data world.”

The technical track opens with a Practical Sentiment Analysis tutorial, taught by Jason Baldridge of the University of Texas and co-founder of the Apache OpenNLP project. Jason says, “This tutorial will dive below the surface of opinion mining. First, we focus on some of the underlying algorithms and the opportunities and challenges. In particular, we will discuss semi-supervised learning techniques and their relevance for entity and topic extraction in combination with opinion mining. Second, we look at additional information from non-explicit components of linguistic expression, as well social networks, sensors, and other secondary data. Third, we will also consider issues in the empirical evaluation of automated opinion mining tools.”

Learn more about the workshops, and about the Technology & Innovation session that’s the afternoon component of the technical track — there are nine really cool presenters lined up — and the full roster of March 5-6 sessions via the symposium Web site:

Do check out the symposium! Register by January 25 to save up to $200, and get an extra 10% off with the ID Code FOAF.

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