Abstract: A system that allows senders to manage electronic messaging content at the point of origin integrates with the client application being used to prepare the message for sending. A send request is intercepted inside the client and a series of message analysis steps is performed that analyze the sender, recipient, message, any attachments to the message, and/or related content and information. The output of the message analysis steps is made available for use with rules that specify the performance of a number of actions. The content analysis steps and the actions taken may be determined by the sender or may be centrally managed and determined by an organization.

Abstract: A system for categorizing electronic messages is based on analysis of images within them. Information is extracted about potential text areas in an image and represented as a series of bounding polygons that circumscribe the text-containing regions of the image. Descriptive information and statistics are extracted from the set of bounding polygons and a set of textual representations suitable for pattern matching or Bayesian analysis is produced. The derived categorization may be used to drive classification-based engines. In an electronic message classifier, the classifier derives information from at least one textual token for use in making a probabilistic classification of the electronic message.

Abstract: A system that allows senders to manage electronic messaging content at the point of origin integrates with the client application being used to prepare the message for sending. A send request is intercepted inside the client and a series of message analysis steps is performed that analyze the sender, recipient, message, any attachments to the message, and/or related content and information. The output of the message analysis steps is made available for use with rules that specify the performance of a number of actions. The content analysis steps and the actions taken may be determined by the sender or may be centrally managed and determined by an organization.

Abstract: A computer is used to perform recorded actions. The computer receives recorded spoken utterances of actions. The computer then performs speech recognition on the recorded spoken utterances to generate texts of the actions. The computer then parses the texts to determine properties of the actions. After parsing the texts, permits the user to indicate that the user has reviewed one or more actions. The computer then automatically carries out the actions indicated as having been reviewed by the user.