A Text Classification Method and Device Based on Constraint Specification
A technology of constraint specification and text classification, applied in text database clustering/classification, unstructured text data retrieval, semantic tool creation, etc., can solve problems such as low classification accuracy
Active Publication Date: 2019-12-17
ZHONGKE DINGFU BEIJING TECH DEV
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[0005] This application provides a text classification method and device based on constraint specifications to solve the problem of low classification accuracy of traditional classification methods
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[0041] Embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The embodiments described in the following examples do not represent all embodiments consistent with the present invention. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.
[0042] The concept semantic model is a collection of known concepts inductively exhaustively enumerated in the sample data, as well as ontology expressions composed of known concepts and logical operators. In the technical solution provided by this application, the known concepts are divided into two types, namely the common language concept and the business element concept, which are represented by symbols marking specific text information in ...
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The invention provides a text classification method and device on the basis of constraint specifications. The method includes the steps of firstly, obtaining sample data under a current service scene;secondly, generating an ontology expression set according to the sample data, a classification system and preset constraint specification conditions; thirdly, obtaining text information under the current service scene, and matching the corresponding ontology expression of each node in the ontology expression set; finally, determining a predicted classification result, wherein the constraint specification conditions are one or more constraint condition combinations of globbing constraints, reverse constraints, position constraints and information structure constraints. Through the preset constraint specification conditions, the text information is matched with the ontology expression set according to a preset rule, matching of the ontology expressions can be more accurate, matching accuracy is increased, and the problem of low accuracy in traditional classification methods is solved.
Description
technical field [0001] The present application relates to the technical field of data mining, in particular to a text classification method and device based on constraint specifications. Background technique [0002] Text classification is a means of data mining, which is to obtain classification functions or construct classification models through machine learning on the basis of existing data. This function or model can map the data records in the database to one of the given categories, so as to be applied to data prediction. Among them, a classification function or classification model is a classifier. In the prior art, text classification mainly uses a text classification method based on a statistical algorithm. Including k-value nearest neighbor method, naive Bayesian, neural network, support vector machine and other algorithms. [0003] A typical text classification method based on statistical algorithms is based on pre-marked training corpus, training to obtain te...
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IPC IPC(8): G06F16/35G06F16/36
Inventor 席丽娜李德彦晋耀红
Owner ZHONGKE DINGFU BEIJING TECH DEV