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5 Developments in Text Analytics

By   /  June 15, 2012  /  No Comments

Nicole Laskowski recently shared five developments in the text analytics industry recently cover in a talk given by Seth Grimes, owner of Alta Plana Corp.

Nicole Laskowski recently shared five developments in the text analytics industry recently cover in a talk given by Seth Grimes, owner of Alta Plana Corp. Laskowski writes, “While text analytics technology still struggles with unstructured data beyond text or how to handle a narrative or an argument as opposed to a string of sentences, it has made strides, Grime said. He noted that interest in certain aspects of the field is exploding. Tens of thousands of users, for example, signed up for a recent online course at Stanford University on natural language processing, one of the core technologies for text analytics.”

The first development is Big Data: “Grimes said the challenge with big data is the inability to get rid of the garbage. ‘Clay Shirky, who we could call an analyst and observer, said it’s not about information overload; it’s filter failure,’ Grimes said, referring to one of the Internet’s most well-known commentators. ‘The challenge is to find the information you need and to filter out the noise.’ But finding the relevant material is only the first part of the equation; next, organizations need to be able to combine that data  for analysis. ‘We’ve been talking about silos for years,’ he said. ‘We’re finally at a point where we have the technological capabilities and the motives to break down the silos’.”

Read about the next four developments here.

Image: Courtesy Flickr/ Andrew Mason

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