Domain text theme extraction method

Abstract

The invention belongs to the technical field of text topic extraction, and particularly relates to a domain text topic extraction method. An LDA topic model in a statistical learning method is applied, an auditing method layer is added on the basis of a three-layer Bayesian network of the LDA topic model, and a four-layer Bayesian network is formed. The model considers that a text is composed of multi-term distribution of an auditing method, and the auditing method is composed of multi-term distribution of a subject. The method comprises the following steps of: firstly, respectively generating multi-term distribution of an auditing method, a text topic and a word, then distributing parameters by taking Dirichlet distribution as multi-term distribution of the topic, multi-term distribution of the auditing method and multi-term distribution of the word, and calculating by utilizing Gibbs sampling to obtain real topic distribution parameters containing the auditing method. Compared with an LDA topic model, the method has the advantages that the information of the auditing method is added into the extracted topics, the problem that the overlapping degree between the topics is too high is solved, and meanwhile support can be provided for an auditing tool set of the knowledge graph in the four-insurance-one-fund field.

Description

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AI Technical Summary

Benefits of technology

In this new way we propose adding an extra layer called Auditorium (A) onto our models' baseline structure based on their 3 -dimensional data. These layers are organized into 4 different types: ① A Gaussian mixture representation where each type represents various attributes such as age or income levels; (2) An ensemble with many variables representing these attribute values together like location, time, etc.; (3) Multiple distributions of those same attributes from varying sources within the dataset used during training process. By analyzing the properties of these distributions, it can help identify potential issues related to risk assessment tools.

Problems solved by technology

This patented technical problem addressed by this patents relates to manual organization or analyzing data collected over time on networks like bankruptcy checks for compliance purposes without efficiently collecting relevant information that could be useful later when needed again.

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