Sunday, October 16, 2016

Deep text is an approach to text analytics that takes it to the next level. Text analytics is becoming essential to any field that incorporates unstructured text—including search, taxonomy-ontology, KM, social media applications, and a whole range of new applications that add depth and intelligence to our ability to utilize and understand the huge variety of unstructured content. This workshop looks at the entire process of creating a text analytics platform: how to select the right software for your organization, what resources are needed, how to make the business case, how to begin to develop taxonomies and categorization catalogs or adapt existing information structure resources, the iterative development process, and a range of types of applications that can be built on this platform. Multiple case studies of the most exciting new applications and approaches are included. The workshop is based on the recently published book,Deep Text: Using Text Analytics to Overcome Information Overload, Get Real Business Value from Social Media, and Add Big(ger) Text to Big Data.