Abstract: A system and method for provision of global audience profiling and prediction concerning broadcast and streaming media from disparate data sources. The system facilitates the input of an unlimited number of data sources from online and offline origins including social media and other user generated content web sites. The system identifies key words related to sentiment, topic, and audience attribute. The system then uses a multi-task learning procedure to determine the response for each source and finally to generalize across all sources thus linking a specific audience with identifiable characteristics to a response concerning broadcast or streaming media.

Abstract: A system for collecting and analyzing metadata from peer-to-peer (P2P) media networks. The present invention gathers metadata about P2P media from the P2P network directly as well as relevant 3rd party social networks where that media is discussed. Users access the system via any Internet enabled device. The users' media streaming behavior is collected so that it can determine what they like. That data is indexed for future analysis. The system also monitors social network dialog keyed to the media (e.g. titles, actors, singers). The system then can identify related media on P2P networks and source it so that it is immediately available. The social data collection agents then extract data about the media that users of social networks are providing for the computing of demand for the media and/or performers.

Abstract: A system for collecting and analyzing metadata from peer-to-peer (P2P) media networks. The present invention gathers metadata about P2P media from the P2P network directly as well as relevant 3rd party social networks where that media is discussed. Users access the system via any Internet enabled device. The users' media streaming behavior is collected so that it can determine what they like. That data is indexed for future analysis. The system also monitors social network dialog keyed to the media (e.g. titles, actors, singers). The system then can identify related media on P2P networks and source it so that it is immediately available. The social data collection agents then extract data about the media that users of social networks are providing for the computing of sentiment about the media and/or performers.