Ad hoc relationship analysis system and method based on text data

Abstract

The invention provides an ad-hoc relationship analysis system and method based on text data, and the method comprises the steps of carrying out the analysis rule definition of various types of business text data through a text data access module, so as to facilitate the flexible use of various types of text data; setting a data relationship model for accessed text data information through a relationship model configuration module, and a user can flexibly set the relationship model according to own service requirements; establishing a mapping relationship between the accessed text data and thedata relationship model through an ad hoc relationship mapping module; enabling the ad hoc task management module to control the data relationship model to perform relationship analysis on the accessed text data; visually displaying the analysis result data information in a visual relation graph mode, performing secondary data relation analysis on the presented data relation, then finding the deepinvisible relation between the data, and providing more valuable data information for business analysis.

Description

technical field [0001] The present invention relates to rule processing of text data, definition of data relationship model, and relational analysis system for ad hoc visual display of processed data, in particular to an ad hoc relational analysis system and method for ad hoc visual display and secondary relational analysis of text data. Background technique [0002] With the continuous advancement of science and technology in human society, and the rapid development of Internet technology and computer technology, a large amount and variety of text data have been accumulated in various industries and different business departments. These text data are stored scattered and have poor correlation. How to effectively integrate these text data, process them according to the rules, display the relationship between the processed data in a visual way, and then discover the hidden relationship between the data and the deep value inside the data is an urgent problem to be solved. [0...

AI Technical Summary

Problems solved by technology

[0003] In order to solve these problems, when a variety of text data analysis systems appear on the market, such as text data management system (mainly realize the classification and upload management of text data), text data storage system (mainly realize the classification storage and retrieval of text data), text data full-text Search system (mainly implements full-text indexing of text data and searches by keywords), etc., but its main principles are based on text data for classified storage, query according to conditions, and full-text retrieval of text data; for the final obtained data, there are still one or more Text files, it is difficult to find the relationship between file contents, especially the data relationship between multiple files; therefore, these text data application analysis systems cannot well meet the actual needs of the business, and cannot know the relationship between text data. Relevance, especially difficult to discover the hidden deep-level relationship between multiple text data

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