AppScience, LLC is a software and analytics company focusing on “Sentiment Analysis” and “Natural Language Processing” concepts whereby social media content, such as Twitter, is analyzed to produce a mood, public perception, or favorability score based on the negative or positive comments within those messages. Further, AppScience, LLC has expertise in crowd-source-based search tools, with Gimmeyit as its flagship product.
The methodology employed in many of 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).