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Links 1 through 10 of 28 by Nathan Gilliatt tagged textanalytics

IARPA's FUSE program scans academic journals, patents and other scientific documents to identify emerging technologies.

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A research project yields a useful tool for getting a quick sense of how people are discussing a topic on Twitter. Sentiment, emotion, and topic clustering.

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Forget benchmarking text analytics systems against human analysts. Seth Grimes thinks they can do *better* than humans, if we figure out what that means.

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Great introduction of text analytics, its uses, and vendors by Seth Grimes. From his workshop at the 2011 Text Analytics Summit.

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Seth Grimes estimates the market size.

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Clever use of Wikipedia's large library of open-source content.

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Auto-summarize text from the web, cut-and-paste, or uploaded files.

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Analyzing influence by tracking the spread of new ideas in text, because people don't always cite (or realize) their sources.

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The tea leaves confirm that keeping up with the technology is hard work, and not something that every research firm needs to do.

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Experiments in predicting stock price changes with sentiment analysis based on selected sources.

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