Abstract: Techniques associated with identifying stories in media content are described in various implementations. In one example implementation, a method may include receiving media content, and segmenting the media content into a plurality of media segments based on auditory indicators included in the media content. The method may also include analyzing a first media segment to determine a first set of concepts associated with the first media segment, and analyzing a second media segment to determine a second set of concepts associated with the second media segment. The method may further include comparing the first set of concepts to the second set of concepts to determine a conceptual similarity between the first set of concepts and the second set of concepts, and in response to the conceptual similarity exceeding a similarity threshold, identifying a story that includes the first media segment and the second media segment.

Abstract: Techniques associated with identifying stories in media content are described in various implementations. In one example implementation, a method may include receiving media content, and segmenting the media content into a plurality of media segments based on auditory indicators included in the media content. The method may also include analyzing a first media segment to determine a first set of concepts associated with the first media segment, and analyzing a second media segment to determine a second set of concepts associated with the second media segment. The method may further include comparing the first set of concepts to the second set of concepts to determine a conceptual similarity between the first set of concepts and the second set of concepts, and in response to the conceptual similarity exceeding a similarity threshold, identifying a story that includes the first media segment and the second media segment.

Abstract: The present invention extends to methods, systems, and computer program products for dynamically rating Internet content. A computer receives an indication that at least one URL is available to be rated and that resources (e.g., a content rater) are available for rating the URL. The computer selects a URL, which identifies a portion of Internet content, and transfers the URL to at least two different content classifiers. The computer accesses first rating data corresponding to the identified portion of Internet from a first content classifier. The computer accesses second rating data corresponding to the identified portion of Internet from a second content classifier. The computer combines at least the first rating data and the second rating data into a combined rating corresponding to a specified content category. The computer indicates that the identified portion of Internet content is included in the specified content category.