Enterprise classification method and system based on big data deep learning and electronic equipment

A deep learning and enterprise classification technology, applied in neural learning methods, text database clustering/classification, text database query, etc., can solve the problems of self-learning iteration, low classification efficiency, and inability to achieve accurate classification in cases where classification cannot be achieved. High learning ability and accuracy, reduce manual intervention, improve the effect of recognition and completion ability
CN112632980AActive Publication Date: 2021-04-09广州友圈科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
广州友圈科技有限公司
Publication Date
2021-04-09

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Abstract

The invention provides an enterprise classification method and system based on big data deep learning and electronic equipment, and the method comprises the steps: obtaining the comprehensive information of an enterprise, and forming a big data set; based on a CRF word segmentation model and a probability graph model, extracting an enterprise component keyword set, training a corresponding word vector model, and predicting and dividing a plurality of feature keyword sets by using a density clustering algorithm; carrying out TFI-DF screening on the word sets by utilizing a FastText text classification model, carrying out topic analysis on the big data set by utilizing an LDA model, extracting subject terms related to enterprises, and constructing a plurality of subject term sets by utilizing a density clustering algorithm; combining the feature keyword set and the subject term set to obtain a plurality of training samples, inputting the training samples into a bidirectional cycle neural network for training, and constructing a multi-category classification model; and carrying out classification prediction on enterprises by utilizing the multi-category classification model, matching a perfect threshold value, and automatically labeling industry labels of multiple hierarchies. The method has the characteristics of strong scene adaptability, high classification accuracy, high efficiency and reduced labor cost.
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Description

technical field

[0001] The invention belongs to the technical field of classification methods, and in particular relates to an enterprise classification method, system and electronic equipment based on big data deep learning. Background technique

[0002] In the "2017 National Economic Industry Classification Notes" published by the National Bureau of Statistics on May 22, 2019, there are 20 first-level industry classifications and 97 second-level industry classifications. Mined third and fourth-level industry classification. Industry classification is particularly important for economic activity classification, information processing, and information exchange in national macro-management such as statistics, planning, finance, taxation, and industry and commerce. As the world's second largest economy, with the impact of industrial transformation, upgrading and the rise of new industries, more enterprises will continue to be incubated at a high speed, and comprehensive devel...

Claims

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