International Business Machines Corporation

Rachael M Dickens

Ami H Dewar

Ethan A Geyer

Jonathan D Dunne

Jonathan Frederick Brunn

Rogelio Vazquez-Rivera

Dennis Jinlone Chen

Scott E Chapman

Thomas J Blanchflower

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.

Composable natural language lenses for collaborative streams

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.

System and method to transform content and to generate a visual indicator of that transformation

Growing community of inventors

Raleigh, NC, United States of America

Rachael M Dickens