Text analytics, also known as text mining, has countless applications. Savvy businesses are taking advantage of this technology to resolve customer complaints, create better products, and even improve healthcare. Here are 5 cool and clever examples […]
The Blog.
Understanding Polarity
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The first step in getting computers to understand the sentiment of text is getting them to understand the sentiment behind individual words and phrases. Understanding sentiment happens on multiple levels: at the most basic, […]
5 Tips for Making Salience Work For You
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There’s a lot of ways to tune Salience: from tweaking a few, simple sentiment weights to developing custom patterns that explore the relationships between complex grammatical patterns. The quickest and easiest ways to tune the […]
Classification: Queries vs. Models
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Classification is a few value proposition for text analytics – it allows users to quickly drill into articles of interest and look at trends over time. Setting up a classification scheme can be a lot […]
Salience and Homonyms
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Language is confusing, imprecise, and often times illogical. The fact that “Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo” is a grammatically correct sentence in the English language is enough to make you tear your […]
Tagging, Taxonomies, Categorization with Salience
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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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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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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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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 […]