June 14, 2017, 11:30am – 12:30pm EDT (15:30:00 – World Clock)
Meet the Author of Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Big(ger) Text to Big Data!
Text Analytics is an often misunderstood field that holds enormous potential for getting more value out of the most underutilized resource in most modern organization – so called unstructured text (It’s really poly-structured). It also can provide new opportunities for information architecture by providing a rich new set of tools. This webinar, based on a new book, Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Big(ger) Text to Big Data, will take attendees through a complete tour of this exciting new field and demonstrate how text analytics and information architecture can mutually enrich each other.
The webinar will cover the entire field of text analytics including the latest-greatest techniques currently being developed. We will cover these basic topics:
- What is text analytics?
- What are the major functionality areas of text analytics (Text mining, entity extraction, sentiment analysis, automatic summarization, and automatic categorization)?
- What is the basic business value of text analytics?
- What is the current state of text analytics?
- How can organizations get started with text analytics?
- How do you select the best text analytics software for your organization?
In addition, the webinar will discuss the best practices for text analytics development, including integrating deep learning and deep text. It will also cover the full range of applications that can be built with text analytics in three areas: Search, Social Media, and a class of applications called Info Apps. Finally, the webinar will take a quick look at how to set up and use text analytics as an enterprise unstructured text platform.
The webinar will end with a presentation of some ideas on how text analytics can enhance information architecture and information architecture can add to text analytics. And we hope you will have plenty of questions and suggestions on this mutual enrichment.
Order your copy of Deep Text and receive a 25% discount!
After registering, you will receive a confirmation email containing information about joining the webinar.
About the Author
Tom Reamy is the founder of KAPS Group, a group of text analytics and taxonomy consultants and has 20 years of experience in information projects of various kinds. He has published a number of articles in a variety of journals, and is a frequent speaker at knowledge management, taxonomy, and text analytics conference. He is the author of a new book on text analytics, Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value From Social Media, and Add Big(ger) Text to Big Data. For the last 15 years, his primary focus has been on text analytics, helping clients select the best text analytics software as well as doing text analytics development projects that include applications such as call support, voice of the customer, and enterprise search. When not writing or developing text analytics projects, he can usually be found at the bottom of the ocean in Carmel, photographing strange critters.