System and method of screening unstructured messages and communications

• US 20060224682A1
• Filed: 04/03/2006
• Published: 10/05/2006
• Est. Priority Date: 04/04/2005
• Status: Abandoned Application

• Current Assignee: Inmon Data Systems
• Original Assignee: Inmon Data Systems Incorporated
• Inventors: Inmon, William H.
• Application Number:
  US11/397,593
• Publication Number:
  US 20060224682A1
• Time in Patent Office: Days
• US Class Current: 709/206
• CPC Class Codes: G06F 40/20 Natural language analysis semantic analysis of natural language G06F40/30
• CPC Class Codes: H04L 51/212 using filtering or selective blocking

Abstract

Embodiments of the present invention include a system and method of screening unstructured messages and communications. In one embodiment, messages and communications may be received in the form of email and telephone transcripts. In one embodiment, the present invention includes a method of extracting text from email and telephone transcripts and screening the content of the messages in order to pick out useful and relevant information using a list of words and phrases that can be described as industry recognized words and phrases. Industry recognized words and phrases are matched against the contents of the messages and communications to determine what part of the message or communication is relevant to an aspect of business.

Claims

1. A method of converting unstructured data into structured data comprising:

reading unstructured text based data;

comparing said unstructured text based data against a predefined list of terms; and

generating one or more structured records if a term in the text based data matches a term in the predefined list.

2. The method of claim 1 wherein the unstructured text based data comprises a plurality of text messages or communications, and wherein the method further comprises automatically deleting a message or communication if a term in the predefined list does not match any term in the message or communication.

3. The method of claim 1 further comprising storing the one or more records in a database.

4. The method of claim 1 wherein the text based data are a plurality of emails.

5. The method of claim 1 further comprising converting audio to text based data.

6. The method of claim 1 wherein terms in the text based data are compared against each term in the predefined list.

7. The method of claim 1 wherein a match occurs if the term in the text based data is an exact match with the term in the predefined list.

8. The method of claim 1 wherein a match occurs if the term in the text based data is a stemmed match with the term in the predefined list.

9. The method of claim 1 wherein the predefined list includes one or more categories.

10. The method of claim 9 further comprising grouping records by categories in the predefined list.

11. The method of claim 9 wherein the predefined list includes one or more subcategories.

12. The method of claim 11 further comprising grouping records by subcategories in the predefined list.

13. The method of claim 1 wherein a record is generated for each match.

14. The method of claim 1 wherein one record is generated for a plurality of matches.

15. The method of claim 1 further comprising associating at least one record with the text based data.

16. The method of claim 15 further comprising associating at least one record with particular portions of text based data.

17. The method of claim 15 further comprising storing at least one record and a link to the text based data in a database.

18. The method of claim 1 further comprising calculating the relevance of the text based data.

19. The method of claim 18 wherein calculating comprises counting the number of occurrences of a term from the predefined list in the text based data.

20. A method of converting unstructured data into structured data comprising:

reading a plurality of unstructured text messages or communications;

comparing said plurality of unstructured text messages or communications against a predefined list of terms;

generating a structured record if a term in a particular text message or communication matches a term in the predefined list, and deleting the particular text message or communication if a term in the predefined list does not match any term in the particular text message or communication; and

storing the records in a database.

21. The method of claim 20 wherein the predefined list includes categories of terms, and wherein the method further comprises grouping the records by the categories in the predefined list.

22. The method of claim 20 further comprising associating each generated record with the particular text message or communication.

23. The method of claim 20 wherein the categories include finance, accounting, or sales.

24. The method of claim 20 further comprising calculating the relevance of the text based data by counting the number of occurrences of a term from the predefined list in the text based data.

25. The method of claim 20 wherein the text based data are a plurality of emails.

26. The method of claim 20 further comprising converting audio to text based data.