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 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 […]
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 […]
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.
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 […]
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 […]
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 […]
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 […]