Lexalytics Looking Strong as Text Analytics Heats Up for Big Companies, Mobile

Semantria, which does cloud-based text analysis. The new startup is a joint venture between Lexalytics, Postindustria (in Los Angeles), and DemandGen (Montreal).

In the past few months, Lexalytics has been refining its sentiment engine. Catlin says that phrases like “it wasn’t the best movie ever” and “spectacularly bad” posed special challenges in terms of classifying their meaning. The company’s software has also gotten good at telling whether a statement is contextual rather than polar—the greeting “good morning” is the former, for example.

Of course, this is a very deep and long-standing problem that Lexalytics and others are tackling—getting a computer to quantify meaning and sentiment from phrases of text. Once the technology gets accurate enough—kind of like speech recognition over the years—we might expect to see some really big applications. One of them could be in mobile tech. Cell phone manufacturers are interested in things like summarization of e-mail, Catlin says, to make better use of small screens. You might imagine that software running on a phone (or in the cloud) could identify action items from an e-mail, and display those instead of the whole message.

As for Lexalytics, I wondered if getting acquired by a bigger player (perhaps one of its customers) might be in the works. Catlin says he certainly receives acquisition offers, but most of them aren’t serious. There’s “nothing active in that right now,” he says. On the other hand, he says, “I think the space will consolidate. Salesforce, Oracle, and Microsoft are buying things left and right.”

And he left the door open a little more. “We’re a little company,” he says, “and the eventual goal is find a home for the company in the long run.”

Author: Gregory T. Huang

Greg is a veteran journalist who has covered a wide range of science, technology, and business. As former editor in chief, he overaw daily news, features, and events across Xconomy's national network. Before joining Xconomy, he was a features editor at New Scientist magazine, where he edited and wrote articles on physics, technology, and neuroscience. Previously he was senior writer at Technology Review, where he reported on emerging technologies, R&D, and advances in computing, robotics, and applied physics. His writing has also appeared in Wired, Nature, and The Atlantic Monthly’s website. He was named a New York Times professional fellow in 2003. Greg is the co-author of Guanxi (Simon & Schuster, 2006), about Microsoft in China and the global competition for talent and technology. Before becoming a journalist, he did research at MIT’s Artificial Intelligence Lab. He has published 20 papers in scientific journals and conferences and spoken on innovation at Adobe, Amazon, eBay, Google, HP, Microsoft, Yahoo, and other organizations. He has a Master’s and Ph.D. in electrical engineering and computer science from MIT, and a B.S. in electrical engineering from the University of Illinois, Urbana-Champaign.