A text information processing system and method based on combination theory

Abstract

The present invention proposes a text information processing system and method based on combination theory, which solves the problem of text data analysis and can fully release the value of text information. The matching logic of elements; the combination logic layer, which connects the basic element layer, is used to define one or more combination logics, and the combination logic is used to glue the basic elements into a combination expression element; the programming interface definition layer, connects the combination logic layer, Define one or more regular expression interfaces that can be implemented through programming; the extraction support layer connects to the programming interface definition layer, which is used to extract text information according to matching rules and express the text information in rules; the natural language-like description layer connects to the extraction support The layer describes rules in a natural language-like format; the natural language-like description parsing and optimization component connects to the natural language-like description layer; the support component connects to the natural language-like description parsing and optimization components.

Description

technical field [0001] The invention relates to the technical field of text analysis, in particular to a text information processing system and method based on combination theory. Background technique [0002] Information extraction is to extract specific real-time information from text. In most information extraction, the semantic information of the text is determined by identifying the entities in the text and performing semantic analysis on the entities, but this type of method has great limitations. In the process of semantic analysis, the description of semantic information is too mechanical. It is easy to miss, the selection of feature items is relatively one-sided, and the semantic expression is incomplete or even wrong. In a word, the existing semantic extraction technology cannot accurately and fully release the text information, so it is difficult to effectively use the text information. [0003] Therefore, in the prior art, in the process of text semantic process...

AI Technical Summary

Problems solved by technology

In most information extraction, the semantic information of the text is determined by identifying the entities in the text and performing semantic analysis on the entities, but this type of method has great limitations. In the process of semantic analysis, the description of semantic information is too mechanical. It is easy to miss, the selection of feature items is one-sided, and the semantic expression is incomplete or even wrong. In a word, the existing semantic extraction technology cannot accurately and fully release the text information, so it is difficult to effectively use the text information

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