SocialModeler

Description

SocialModeler leverages natural language processing and statistical text analysis approaches to quickly analyze and explore social media data (e.g. news articles or blogs). It uses an application-based user interface for configuration and analysis. This tool uses advanced, yet parsimonious, methods of determining the topics being talked about within a particular virtual social environment and for a particular space and time. It also determines who the major players are within the context of the discussion as well as the sentiments espoused by these players towards certain topics. Using topic modeling methods and natural language processing techniques, SocialModeler outputs topic information and usage statistics.