Learn more about our current applications:

AppScience Analytics

Click here to check out our internally-developed Sentiment Analysis statistical model used behind ChatterStock, TweetVote, and Moodisphere.

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AppScience, LLC

AppScience, LLC

AppScience, LLC is a software and analytics company focusing on iPhone, Android, and web development. Our products are rooted in Media and “Natural Language Processing” whereby social media content is analyzed to produce a mood, public perception, or favorability score based on the negative or positive comments within those messages.

The methodology employed in our products not only allows one to know the current favorability of an entity (person, place, thing, or concept) in real-time, it also allows one to track the relative change of favorability compared to a historical baseline.  For example, let’s say that one’s political candidate is trailing in the polls, and the user of the application would like to know if the debate from the previous evening had a positive impact on the candidate’s favorability score.  The AppScience Analytics methodology allows the user to see the current “point-in-time” score for that candidate as well as any recent changes in favorability (good or bad).