Text data classification method and device based on neural network model and storage medium

A neural network model and text data technology, applied in the field of text data classification based on neural network model and computer readable storage medium, can solve problems such as inability to effectively reflect text categories, inaccurate text classification, etc.

Active Publication Date: 2020-02-04
PING AN TECH (SHENZHEN) CO LTD
View PDF11 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, because the word frequency in the text cannot effectively reflect the category of the text, the existing technology usually has the problem of inaccurate text classification

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Text data classification method and device based on neural network model and storage medium
  • Text data classification method and device based on neural network model and storage medium
  • Text data classification method and device based on neural network model and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0063] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments describ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of artificial intelligence, and discloses a text classification method based on a neural network model, and the method comprises the steps: collecting textdata, carrying out the preprocessing of the text data, and obtaining the preprocessed text data; converting the preprocessed text data into a text vector; performing feature selection on the text vector by using a BP neural network classification model based on decision tree optimization to obtain an initial text feature; according to the obtained initial text features, training the BP neural network classification model by utilizing a stochastic gradient descent algorithm and a fin-turning method until the optimal text features are obtained; and according to the optimal text feature, classifying the text data by using a classifier, and outputting a classification result of the text data. The invention further provides a text classification device based on the neural network model and a computer readable storage medium. Accurate classification of the text data can be realized.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a neural network model-based text data classification method, device and computer-readable storage medium. Background technique [0002] With the rapid development of network technology, the requirements for the effective organization and management of electronic text information and the ability to quickly, accurately and comprehensively find relevant information are getting higher and higher. As a key technology for processing and organizing a large amount of text data, text classification solves the problem of messy information to a large extent and facilitates users to accurately obtain the required information. technical foundation. [0003] The prior art mainly builds a text classification model based on word frequency features in the text, and then performs text classification on the text to be classified based on the constructed text classification...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06N3/04G06N3/08
CPCG06F16/35G06N3/084G06N3/045
Inventor 金戈徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products