Text Analytics World NYC Early Bird ends on Friday, the participants learn How To Leverage Unstructured Data for Maximum Business Impact
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New York, NY (BUSINESS WIRE) 5 September 2011
Text Analytics World (TAW) of the industry must-attend event for text analysis professionals – participants are given the opportunity, opportunity to learn firsthand how their colleagues and industry experts, text analysis applications in a variety of industries, including automotive, education, e-commerce, financial services, government, high tech, insurance, retail, social media and telecommunications, such as Google, MetLife and Citibank, and much more.
TAW New York City on the agenda includes more than 25 case studies sessions over two days, including top-topics and advanced methods such as churn risk detection, customer service and call centers, decision support, document recognition, document filtering, financial indicators of social media and detection of fraud. TAW-speakers a thorough look at government and insurance applications, knowledge discovery, open question-answer, parallel text analysis, risk profiling, sentiment analysis, social media applications, survey analysis, the issue discovered and the voice of the customer and other innovative applications benefit organizations in new and creative ways.
case studies include mining for Social Media Buzzwords to Socialmediatoday.com, New Insights from “Big old data”: The Role of Text Analytics to Bundle.com, identify customers, expressed Intent-to-churn or defect of large number of respondents in PayPal Verbatim, Fighting Fraud with text mining at MetLife Auto & Home, analysis and scoring customer problem descriptions by multi-focal Learning at Citibank, baby elephants: With Hadoop and text analytics at Intuit, Text Analytics accurately segment Workers’ Compensation injury by Accident Fund Insurance Company of America and others.
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TAW and access to the best keynotes, sessions, workshops, exhibitions, panel of experts, networking coffee breaks, reception, birds-of-a-feather lunch, brand-name company leaders, and industry heavyweights in the industry.
do not miss
Keynotes include: John F. Elder, CEO and founder of Elder Research on Text Mining: Lessons Learned, David C. Gondek, Technical Lead, Knowledge Capture Watson, IBM Watson Research Investigator at the building – an overview of the DeepQA Project , and author Thomas Davenport, President of the Distinguished Professor at Babson College on Every Day Analytics. Leading Edge manufacturing Commonplace
CAW is supported by IBM, SAS, Sybase (SAP Company), AnalyticBridge, KDnuggets, and ImprovementandInnovation.com Toolbox.com. Sponsorship opportunities are still available.
Text Analytics World will be co-located next to Predictive Analytics World, since part of the Data Driven Business Week and offers inexpensive cross-registration options for access to a wide range of leading analytical detection and case studies.
before Friday 9th September to register and $ 400 in savings realized from the full price. And you save an additional $ 200 to pass the two-day conference, a colleague if you register at the same time.
About Rising Media
Rising Media is a global producer of outstanding events in Internet and technology exhibitions and conferences. Rising Media produces events Data Driven Business Week, eMetrics Marketing Optimization Summit, Conversion Conference, pressure gauge, Search Marketing Expo, Predictive Analytics World, Text Analytics World, Internet Marketing Conference, Social Media Economy Days count, Web Effectiveness Conference and Building Business Capability in the USA, Canada, Great Britain, France, Germany, Sweden, Finland and Australia.
Rising Media events provide innovative, practical knowledge for business professionals to improve their day to day effectiveness, drive higher returns for their organizations. Participants learn from leading experts and knowledge with each other, and interact with innovative vendors in the space. Each event brings the best, the brightest and the visionary, the creation of a forum for the insight, energy exchange and informed purchasing decisions.
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