Content analysis using categorization

• US 20050228774A1
• Filed: 04/12/2004
• Published: 10/13/2005
• Est. Priority Date: 04/12/2004
• Status: Abandoned Application

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Ronnewinkel, Christopher
• Application Number:
  US10/822,612
• Publication Number:
  US 20050228774A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/353 into predefined classes

Abstract

A system is disclosed to provide content analysis services. The system includes a classifier that provides one or more recommendations based on an incoming message. The classifier combines query-based classification and example-based classification to classify an incoming message. The system may include a user application that allows the classifier to process and respond to incoming messages.

Claims

1. A method of analyzing the content of an incoming electronic message (IEM),

the method comprising:

classifying the IEM using query-based classification to select at least one category that relates to the content of the IEM; and

classifying the IEM using an example-based classification algorithm to search through a set of stored previous electronic messages, each stored previous electronic message being associated with at least one of the selected categories, to identify at least one stored previous electronic message that relates to the content of the IEM.

2. The method of claim 1, further comprising identifying at least one business object that is associated with the selected category.

3. The method of claim 2, further comprising recommending the identified at least one business object.

4. The method of claim 1, further comprising identifying at least one business object that is associated with the identified stored previous electronic message.

5. The method of claim 4, further comprising recommending the identified at least one business object.

6. The method of claim 1, wherein classifying the IEM using query-based classification comprises:

evaluating content of the IEM using pre-defined queries associated with each of a plurality of pre-defined categories in a categorization scheme; and

selecting a category for which one of the pre-defined queries evaluates as true.

7. The method of claim 1, wherein classifying the IEM using an example-based classification algorithm comprises:

comparing the IEM with the set of stored previous electronic messages; and

determining which stored previous electronic messages in the set of stored previous electronic messages are most similar to the IEM.

8. The method of claim 1, further comprising:

identifying at least one business object that is associated with the selected category; and

identifying at least one business object that is associated with the identified stored previous electronic message.

9. The method of claim 8, further comprising recommending business objects that are associated with both the selected category and the identified stored previous electronic message.

10. The method of claim 8, further comprising recommending business objects that are associated with at least one of the selected category and the identified stored previous electronic message.

11. The method of claim 1, wherein the IEM is an e-mail.

12. The method of claim 1, wherein the IEM is received via Internet self-service.

13. The method of claim 1, further comprising the step of providing a recommendation based on both the selected category and the identified at least one stored previous electronic message.

14. The method of claim 1, wherein the example-based classification algorithm is a k-nearest neighbor algorithm.

15. The method of claim 1, wherein the example-based classification algorithm is a support vector machine algorithm.

16. A computer program product tangibly embodied in an information carrier, the computer program product containing instructions that, when executed, cause a processor to perform operations to analyze the content of an incoming electronic message (IEM), the operations comprising:

classify the incoming message using query-based classification to select at least one category that relates to the content of the IEM; and

classify the IEM using an example-based classification algorithm to search through a set of stored previous electronic messages, each stored previous electronic message being associated with at least one of the selected categories, to identify at least one stored previous electronic message that relates to the content of the IEM.

17. A system for responding to incoming electronic messages (IEM), the system comprising:

a content analysis engine that uses query-based classification to select at least one category that relates to the content of the IEM, and uses an example-based classification algorithm to search through a set of stored previous electronic messages, each stored previous electronic message being associated with at least one of the selected categories, to identify at least one stored previous electronic message that relates to the content of the IEM.