Abstract:
A system that incorporates teachings of the subject disclosure may include, for example, obtaining social media data associated with a plurality of end user devices of a plurality of users interacting with a social media network where the social media data includes user commentary at the social media network, determining first targeted advertising for delivery to first end user devices of a portion of the plurality of users based on an analysis of the social media data, and determining second targeted advertising for delivery during a target broadcast programming to a second end user device of a target user of the plurality of users based on an analysis of the user commentary, wherein the analysis includes identifying a comment context. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the present disclosure may operate, for example, obtaining a number of blogs including an initial set of annotated blogs and unannotated blogs. The initial set of annotated blogs are annotated as being either relevant to a selected media program or not relevant to the selected media program. A set of features is determined associating the selected media program with the unannotated blogs and a trained classifier is generated based on the set of features. The trained classifier is applied to the blogs to identify a subset of blogs relevant to the selected media program. An analysis is performed on the selected blogs to determine a trend related to the selected media program and a graphical user interface is presented that concurrently presents the selected blogs, the trend, and the selected media program. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the present disclosure may operate, for example, according to a method for identifying subsets of blogs from a collection of blogs according to a relevance of each subset of blogs to one of a plurality of media programs deliverable to a plurality of subscriber devices, determining for each subset of blogs one or more trends, detecting a subscriber device from the plurality of subscriber devices, selecting a media program from the plurality of media programs, selecting one of the subsets of blogs that is relevant to the media program, and supplying the subscriber device the selected subset of blogs with the one or more trends determined for the select subset of blogs. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the present disclosure may operate, for example, obtaining a number of blogs including an initial set of annotated blogs and unannotated blogs. The initial set of annotated blogs are annotated as being either relevant to a selected media program or not relevant to the selected media program. A set of features is determined associating the selected media program with the unannotated blogs and a trained classifier is generated based on the set of features. The trained classifier is applied to the blogs to identify a subset of blogs relevant to the selected media program. An analysis is performed on the selected blogs to determine a trend related to the selected media program and a graphical user interface is presented that concurrently presents the selected blogs, the trend, and the selected media program. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the present disclosure may operate, for example, according to a method for identifying subsets of blogs from a collection of blogs according to a relevance of each subset of blogs to one of a plurality of media programs deliverable to a plurality of subscriber devices, determining for each subset of blogs one or more trends, detecting a subscriber device from the plurality of subscriber devices, selecting a media program from the plurality of media programs, selecting one of the subsets of blogs that is relevant to the media program, and supplying the subscriber device the selected subset of blogs with the one or more trends determined for the select subset of blogs. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the subject disclosure may include, for example, obtaining social media data associated with a plurality of end user devices of a plurality of users interacting with a social media network where the social media data includes user commentary at the social media network, determining first targeted advertising for delivery to first end user devices of a portion of the plurality of users based on an analysis of the social media data, and determining second targeted advertising for delivery during a target broadcast programming to a second end user device of a target user of the plurality of users based on an analysis of the user commentary, wherein the analysis includes identifying a comment context. Other embodiments are disclosed.
Abstract:
A system that incorporates teachings of the subject disclosure may include, for example, obtaining social media data associated with a plurality of end user devices of a plurality of users interacting with a social media network where the social media data includes user commentary at the social media network, determining first targeted advertising for delivery to first end user devices of a portion of the plurality of users based on an analysis of the social media data, and determining second targeted advertising for delivery during a target broadcast programming to a second end user device of a target user of the plurality of users based on an analysis of the user commentary, wherein the analysis includes identifying a comment context. Other embodiments are disclosed.