Method and system for identifying relationships between text documents and structured variables pertaining to the text documents

• US 7,155,668 B2
• Filed: 04/19/2001
• Issued: 12/26/2006
• Est. Priority Date: 04/19/2001
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Spangler, William Scott, Kreulen, Jeffrey Thomas, Holland, Karen Mae
• Primary Examiner(s): Bashore, William
• Assistant Examiner(s): Blackwell, James H.
• Application Number:
  US09/837,158
• Publication Number:
  US 20020156810A1
• Time in Patent Office: 2,077 Days
• Field of Search: 715/513, 715/501.1, 707 1- 3, 707/5, 707/203, 707/7, 382/306, 704/1
• US Class Current: 715/256
• CPC Class Codes: G06F 40/237 Lexical tools
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access

Abstract

A method and system for interesting relationships in text documents includes generating a dictionary of keywords in the text documents, forming categories of the text documents using the dictionary and an automated algorithm, counting occurrences of the structured variables, categories and structured variable/category combinations in the text documents, and calculating probabilities of occurrences of the structured variable/category combinations.

Claims

1. A computer-implemented method for identifying relationships between text documents and structured variables pertaining to said text documents, comprising:

providing a dictionary of keywords in said text documents;

forming categories of said text documents using said dictionary and an automated algorithm;

counting occurrences of said structured variables, said categories, and combinations of said structured variables and said categories for said text documents;

calculating probabilities of occurrences of said combinations of structured variables and categories; and

identifying a relationship between a structured variable and text documents included in a category based on a probablility of occurrence of a combination of said structured variable and said category,

wherein said text documents comprise problem tickets in a helpdesk log, and said period of time comprises dates of said problem tickets.