

Intro to Text Mining Using tm, openNLP and topicmodels – Ted Kwartler ODSC Boston 2015
ConferencesModelingNLP/Text AnalyticsRTools & LanguagesODSC East 2015|Speaker Slidesposted by Edward Kwartler June 4, 2015 Edward Kwartler

You will learn how modern customer service organizations use data to understand important customer attributes and how R is used for workforce optimization. Topics include real world examples of how R is used in large scale operations to text mine customer notes, broadly understand satisfaction surveys and forecast call arrival patterns. Concepts will be presented in a manner suitable for business professionals but code examples will be shared for those interested in more than high level explanations.
Presenter Bio
Ted Kwartler is the Director of Customer Success at DataRobot where he manages the end to end customer journey. He advocates for and integrates customer innovation into everyday culture and work. He helps to define and organize all customer service functions and key performance indicators. Thus he incorporates data driven customer analytics decisions balanced with qualitative feedback to continuously innovate for the customer experience. Specialties: Statistical forecasting and data mining, IT service management, Customer Service process improvement and project management, business analytics.

Edward Kwartler
Working at Liberty Mutual I shape the organization's strategy and vision concerning next generation vehicles. This includes today's advanced vehicle ADAS features and the self driving cars of the (near) future. I get to work with exciting startups, MIT labs, government officials, automotive leaders and various data scientists to understand how Liberty can thrive in this rapidly changing environment. Plus I get to internally incubate ideas and foster an entrepreneurial ethos! Specialties: Data Science, Text Mining, IT service management, Process improvement and project management, business analytics
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