Is Text Analytics Ready for Prime Time?

摘要

I have previously reviewed basic business practices required to anticipate and manage inevitable social media crises affecting brands. Even the best business practices can only mitigate social public relations (PR) disasters. And it is expensive, and of dubious value, to do as the Department of State is reported recently to have done: spend $630,000 on Facebook likes.That's probably, at best, a one-off solution. Can text analytics tools (including sentiment analysis and predictive analytics) provide an edge to anticipating or even understanding Big Social Data? Vendors are hopping on the bandwagon. But what about the state of these tools themselves? I polled four vendors, large and small, to get their views about the current state of these tools. The vendors are Adobe, Lexalytics, Semant-ria, and Recorded Future.