The world is your oyster… And if your world is data, Salience is your pearl. One of the things that makes this engine so great is its ability to categorize content automatically. It can tag […]
Sentiment and Litotes: How Salience Deals with Double Negatives
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The double negative is not an uncommon rhetorical device. (See what I did there?) Using two negatives to indicate a positive is a figure of speech that goes back so far that it can be […]
The Avengers: Most Popular Superhero?
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2 m
The Avengers occupy a big seat in the ever expanding Marvel Cinematic Universe. So, which super hero is the fan favorite? We feed social media data to our text analytics engine in this fun entertainment industry application of our tech.
Salience 4.3: Opinion Mining
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One of the two major new features in Salience 4.3 (releasing around June 30th) is “opinion mining”. Opinion mining expands our core technology to handle indirect quotes. We’ve been able to extract quote-mark delimited quotes […]
Why are David Pogue and Walt Mossberg such Apple Fanboiz?
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We get 2 papers here at my house, courtesy of my news-hound wife: the New York Times and the Wall Street Journal. (Of course, neither has a comics section, which basically ruins the newspaper experience […]
Four questions when looking for a reputation management solution
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3 m
Earlier this year Jeff outlined a few things you should consider when investigating a reputation management solution. Since we often get asked for our opinion on this topic, I thought it would be good to […]
Stuck in Neutral
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3 m
Recently I had one of those unfortunate circumstances where a customer of ours was unhappy with the results of the sentiment produced by Salience and contacted us to help tune the engine. The document set […]
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