We present a probabilistic topic model for jointly identifying properties and attributes of social media review snippets. Our model simultaneously learns a set of properties of a ...
Social media (i.e., Twitter, Facebook, Flickr, YouTube) and other services with user-generated content have made a staggering amount of information (and misinformation) available....
Andrea L. Kavanaugh, Edward A. Fox, Steven D. Shee...
Abstract—We present an extended version of a software system SIGHTS1 (Statistical Identification of Groups Hidden in Time and Space), which can be used for the discovery, analys...
Jeffrey Baumes, Mark K. Goldberg, Mykola Hayvanovy...
Streaming user-generated content in the form of blogs, microblogs, forums, and multimedia sharing sites, provides a rich source of data from which invaluable information and insig...
With hundreds of millions of users already today, virtual worlds will become an important factor in tomorrow's media landscape. In a virtual world, users are represented by s...