Data query and analysis method based on text information structure

Abstract

The invention discloses a data query and analysis method based on a text information structure, and relates to the technical field of text information structured processing. The invention discloses a data query and analysis method based on a text information structure. The method comprises the following steps: determining an application field, selecting a text information source, setting a research and analysis information category, editing and sorting data, inputting information, storing data and performing data query application. According to the data query and analysis method based on the character information structure, character information, knowledge and the like in the application field are subjected to multi-dimensional and digital storage, a unified structured basic database is established, the boundary between original character carriers is broken, the character information of different sources and different forms is organically integrated, and the text content of different time and sources can be quickly summarized, so that the integrity and systematicness of text information acquisition are greatly improved, and meanwhile, the efficiency of acquiring required text information is greatly improved.

Description

technical field [0001] The invention relates to the technical field of text information structured processing, in particular to a data query and analysis method based on the text information structure. Background technique [0002] In social production and life, a large amount of text information is generated every day, recording various activities of organizations or individuals (material level and consciousness level). These massive text information are organized and stored in the form of paragraphs, articles, and cost books, but it is difficult to be used efficiently like digital information. Structured digital (data) information already has various systems and tools for multi-dimensional and flexible and efficient query, statistics, analysis, etc., while unstructured text information still requires a lot of human work to query , reading, screening, memory storage and processing, cannot perform efficient query and analysis of direct results like digital information. [...

AI Technical Summary

Problems solved by technology

When it is necessary to retrieve or analyze the content, it often takes a lot of time to read, memorize and process, which cannot be done like various statistical data