“The first challenge comes from traditional text mining being just that – text focused” comments Andrei Broder, “[these days] there is a lot more content around the text so challenge number one is discovering how to mine the context around the text as well as the text itself.”
Seth Grimes, who is chairing the upcoming Text Analytics Summit in Boston, June 12 - 13, adds “A challenge shared by business intelligence and data mining is how you make text mining more accessible and easier to accomplish?” Seth provides his own answer to this problem “[the technology/industry must] focus on usability, create domain-specific interfaces and models, and build the technology into everyday, line-of-business applications.”
The full interview is available at Text Analytics News and looks at how text mining technologies have collided with vital applications such as search, web advertising, sentiment extraction, bio-medicine, drug discovery and others. The interview also highlights emerging text mining applications that are increasingly playing vital roles across a number of industry verticals.
The interview goes on to shed some insight into the future of text technology and asks “what’s next for text?”, an issue a number of companies in this space are still grappling with. So what is next for text mining technologies?
“I believe that more integration across the fields of applications will experience a tipping point” suggests Broder and predicts “it will be like a snow ball effect – once people begin to converge technologies, more will follow.”
Seth Grimes offers his own insights into the future of text and identifies the role professional research plays in the evolution of the technology. “Academic and government-sponsored research is producing great tools that are a natural for commercialization. Some of them will emerge as intriguing, new niche entrants to the text-analytics market.”
For more insights from two of the text mining industries most respected minds visit. View the full interview at http://www.textanalyticsnews.com/
