Text analytics: greater usability, less time to insight

Text analytics has had several distinct generations in the course of its evolution. From keyword-based analysis to clustering of concepts and sentiment analysis, text analytics has grown increasingly sophisticated. The next advance will be more influential, yet its mechanism will be much less visible. “The wave of the future is to make things easier for users,” says Matt LeGare, product manager for Attensity. “The early adopters have been willing to push through the technology and big data to process a large corpus of information, but for others, usability has to improve.”The mechanism will be less visible because more of the computer’s work will be going on behind the scenes. “Right now, users typically have to provide a lot of manual input to fine-tune text analytics—for example, with categorization,” says LeGare,…

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