Abstract: Identification of content classes deemed important by users is received. Classifiers are trained on user communication text to recognize content matching content classes. A composite classifier is applied to text of communication among users of a second set of users, including tagging, by the composite classifier, content in text of communication among the users of the second set. The tagging is responsive to the classifiers recognizing their respective content classes in text of communication among the users of the second set.

Abstract: A computer-implemented system, method and computer program product to transform content and to generate a visual indicator of that transformation, by: performing the transformation on the content, wherein the content is transformed from one state to another state; and displaying the visual indicator representative of the transformation adjacent the content; wherein the visual indicator is selected to display the content in a state that existed prior to or at a time when the transformation was performed. As subsequent transformations are performed, additional visual indicators are listed in the order performed. The visual indicator acts as a user interface element that allows a user to view or revert the content to a state that existed prior to or at a time that the transformation was performed. Selection of the visual indicator follows the control to the destination. The visual indicator also serves to relay information sent from the destination.

Abstract: Identification of content classes deemed important by users is received. Classifiers are trained on user communication text to recognize content matching content classes. A composite classifier is applied to text of communication among users of a second set of users, including tagging, by the composite classifier, content in text of communication among the users of the second set. The tagging is responsive to the classifiers recognizing their respective content classes in text of communication among the users of the second set.

Abstract: A computer-implemented system, method and computer program product to identify relative availability for a pre-determined team, by: determining an availability intent for each member of the team; determining at least one availability desire for each member of the team; determining an inferred availability state for each member of the team; and conveying the relative availability for each member of the team based on the availability intent, the availability desire, and the inferred availability state by displaying a visual indicator. The visual indicator includes an avatar for a team member decorated by a dot showing the team member's current availability and an arc showing the team member's availability for a period of time extending from the current availability into the future, wherein the dot and the arc have a fill or color representing the team member's availability, and the arc has a length representing the period of time in the future.

Abstract: A computer-implemented system, method and computer program product to transform content and to generate a visual indicator of that transformation, by: performing the transformation on the content, wherein the content is transformed from one state to another state; and displaying the visual indicator representative of the transformation adjacent the content; wherein the visual indicator is selected to display the content in a state that existed prior to or at a time when the transformation was performed. As subsequent transformations are performed, additional visual indicators are listed in the order performed. The visual indicator acts as a user interface element that allows a user to view or revert the content to a state that existed prior to or at a time that the transformation was performed. Selection of the visual indicator follows the control to the destination. The visual indicator also serves to relay information sent from the destination.

Abstract: Identification of content classes deemed important by users is received. Classifiers are trained on user communication text to recognize content matching content classes. A composite classifier is applied to text of communication among users of a second set of users, including tagging, by the composite classifier, content in text of communication among the users of the second set. The tagging is responsive to the classifiers recognizing their respective content classes in text of communication among the users of the second set.

Abstract: Identification of content classes deemed important by users is received. Classifiers are trained on user communication text to recognize content matching content classes. A composite classifier is applied to text of communication among users of a second set of users, including tagging, by the composite classifier, content in text of communication among the users of the second set. The tagging is responsive to the classifiers recognizing their respective content classes in text of communication among the users of the second set.