Systems And Methods For Automatically Determining Text Classification

• US 20140358923A1
• Filed: 05/23/2014
• Published: 12/04/2014
• Est. Priority Date: 05/28/2013
• Status: Abandoned Application

• Current Assignee: NDP, LLC (New Port Group Holdings, Inc.)
• Original Assignee: NDP, LLC (New Port Group Holdings, Inc.)
• Inventors: Nunez, German, Knepley, James
• Application Number:
  US14/286,524
• Publication Number:
  US 20140358923A1
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/353 into predefined classes

Abstract

A software product and a method a method determines classification of text displayed within a browser on a computer. A processor within a server is used to generate a consolidated index of tokens contained within the text. The processor is used to identify a first classification of the text by matching each of one or more terms of a first association defined within a rule set with the tokens of the consolidated index. The first association associates the one or more terms with the first classification. The first classification is indicated with the text by interacting with the browser. The server may continually receive characters from a communication stream and report any matched classifications therein.

Claims

1. A method for determining classification of text displayed within a browser on a computer, comprising:

generating, using a processor within a server, a consolidated index of tokens contained within the text;

identifying a first classification of the text by matching, using the processor, each of one or more first terms of a first association defined within a rule set with the tokens of the consolidated index, the first association associating the one or more first terms with the first classification; and

interacting with the browser to indicate the first classification with the text.

2. The method of claim 1, further comprising:

identifying a second classification of the text by matching, using the processor, each of one or more second terms of a second association defined within the rule set with the tokens of the consolidated index, the second association associating the one or more terms with the second classification;

interacting with the browser to indicate the second classification with the text; and

interacting with the browser to indicate an overall classification of the text based upon a most important of the first classification and the second classification.

3. The method of claim 1, the step of interacting comprising displaying a classification mark based upon the first classification proximate the text, wherein the text includes a paragraph of a document displayed within the browser.

4. The method of claim 3, further comprising displaying a location marker along the right hand margin of the browser to indicate a location within the text of each token that matches with at least one of the first terms of the first association.

5. The method of claim 4, further comprising highlighting the matched token in an alternative color when selected by the user within the browser.

6. The method of claim 4, further comprising redacting the matched token from the text in response to receiving a redact command from the user.

7. The method of claim 1, further comprising displaying the first association when the matched token is selected by the user within the browser.

8. A method for communication stream text classification, comprising:

continually receiving, within a server, characters from the communication stream;

tokenizing, using a processor of the server, the characters to generate a consolidated index of tokens contained within the text;

identifying a classification of the communication stream text by matching, using the processor, each of one or more terms of an association defined within a rule set with the tokens of the consolidated index, the association associating the one or more first terms with the classification; and

reporting the classification to a user of the communication stream.

9. The method of claim 8, the step of tokenizing further comprising time-stamping the tokens, wherein the step of identifying comprises matching each of the one or more terms to tokens of the consolidated index within a sliding time-window.

10. The method of claim 9, wherein the classification is the most important classification defined within a plurality of associations for which all terms are matched to tokens within the sliding time-window.

11. A software product comprising instructions, stored on non-transitory computer-readable media, wherein the instructions, when executed by a processor, perform steps for determining text classification, comprising:

instructions for interacting with a browser operating on a user'"'"'s computer to display the text;

instructions for generating a consolidated index of tokens contained within the text;

instructions for identifying a first classification of the text by matching each of one or more first terms of a first association defined within a rule set with the tokens of the consolidated index, the first association associating the one or more first terms with the first classification; and

instructions for interacting with the browser to indicate the first classification with the text.

12. The software product of claim 11, further comprising:

instructions for identifying a second classification of the text by matching each of one or more second terms of a second association defined within the rule set with the tokens of the consolidated index, the second association associating the one or more second terms with the second classification;

instructions for interacting with the browser to indicate the second classification with the text; and

instructions for interacting with the browser to indicate an overall classification of the text based upon a most important of the first classification and the second classification.

13. The software product of claim 11, further comprising instructions for displaying a classification mark based upon the first classification proximate the text, wherein the text includes a paragraph of a document displayed within the browser.

14. The software product of claim 11, further comprising instructions for displaying a location marker along the right hand margin of the browser to indicate a location within the text of each token that matches with at least one of the first terms of the first association.

15. The software product of claim 14, further comprising instructions for redacting the matched token from the text in response to receiving a redact command from the user.

16. The software product of claim 11, further comprising instructions for highlighting the at least one token in a first color within the browser.

17. The software product of claim 16, further comprising instructions for highlighting the at least one token in a second color when the at least one token is selected by the user within the browser.

18. The software product of claim 16, further comprising instructions for displaying the first association when the matched token is selected by the user within the browser.