Abstract: Exemplary embodiments are directed to determining a media value associated mentions of an entity in one or more documents based on a sentiment attributed to the mentions of the entity and/or a frequency with which the entity is mentioned. Exemplary embodiments can include a media value engine that can identify mentions of an entity in documents, attribute sentiment to the mentions of the entity; determine a polarity of the sentiment, and calculate a media value attributed to the entity based on the sentiment.

Abstract: A computer-implemented method for performing marketing research using social and information analytics. The computer is specifically programmed for performing the steps of collecting user-generated content that is associated with a user; and determining if the user-generated content contain a predetermined topic and if it does, storing the user-generated content and user information associated with the user in an audience database associated with the predetermined topic. The method may further includes receiving from a researcher computer a master topic; determining a master user list of user information associated with the master topic and for each of the plurality of the predetermined topics except for the master topic, determining the correlation between the user associated with the master topic and the users associated with each of the other predetermined topics to provide a ranked list of interests for users interested in the master topic.

Abstract: Exemplary embodiments are directed to determining a media value associated mentions of an entity in one or more documents based on a sentiment attributed to the mentions of the entity and/or a frequency with which the entity is mentioned. Exemplary embodiments can include a media value engine that can identify mentions of an entity in documents, attribute sentiment to the mentions of the entity; determine a polarity of the sentiment, and calculate a media value attributed to the entity based on the sentiment.