Abstract: A facility selects a unit of content to include in an instance of a content container. For each of a plurality of units of content, across a plurality of other instances of the content container distributed during a foregoing period of time that included the unit of content, the facility determines both an average level of success achieved by including the unit of content, and a measure of the level of variability of the level of success achieved by including the unit of content. The facility scores each unit of content by selecting a value from a probability distribution that is based on the determined average level of success and measure of the level of variability of the level of success. The facility selects one of the units of content to include in the instance of the content container based on the determined scores.

Abstract: A facility selects a unit of content to include in an instance of a content container. For each of a plurality of units of content, across a plurality of other instances of the content container distributed during a foregoing period of time that included the unit of content, the facility determines both an average level of success achieved by including the unit of content, and a measure of the level of variability of the level of success achieved by including the unit of content. The facility scores each unit of content by selecting a value from a probability distribution that is based on the determined average level of success and measure of the level of variability of the level of success. The facility selects one of the units of content to include in the instance of the content container based on the determined scores.

Abstract: A computer-based method for generating intelligence from social media data, such as blog data, that is publicly available on the Internet. A server is provided that runs a tribe analysis tool, and the method includes accessing a set of the social media data with the tribe analysis tool. The social media data is associated with a plurality of network users or authors. The method continues with operating the tribe analysis tool to identify members of a tribe from the authors by processing the set of social media data to determine the authors having associated portions of the social media data that satisfies tribe membership criteria. Common interests for the identified members of the tribe are determined by processing the social media data associated with the tribe authors. A report is generated for the tribe that includes information related to the set of common interests and additional generated tribe-based intelligence.

Abstract: In one aspect, the invention provides apparatuses and methods for determining the sentiment expressed in answers to survey questions. Advantageously, the sentiment may be automatically determined using natural language processing. In another aspect, the invention provides apparatuses and methods for analyzing the sentiment of survey respondents and presenting the information as actionable data.

Abstract: A computer-based method for generating intelligence from social media data, such as blog data, that is publicly available on the Internet. A server is provided that runs a tribe analysis tool, and the method includes accessing a set of the social media data with the tribe analysis tool. The social media data is associated with a plurality of network users or authors. The method continues with operating the tribe analysis tool to identify members of a tribe from the authors by processing the set of social media data to determine the authors having associated portions of the social media data that satisfies tribe membership criteria. Common interests for the identified members of the tribe are determined by processing the social media data associated with the tribe authors. A report is generated for the tribe that includes information related to the set of common interests and additional generated tribe-based intelligence.