Document classification method and device and terminal

A document classification and document technology, applied in the field of deep learning, can solve the problems of large manpower consumption, high labor cost, subjective deviation of prediction results, etc.

Active Publication Date: 2019-09-20
TENCENT TECH (SHENZHEN) CO LTD
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present disclosure provide a document classification method, device, and terminal, which are used to solve the problem that in the current method of classifying the first document corresponding to a topic

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
  • Document classification method and device and terminal
  • Document classification method and device and terminal
  • Document classification method and device and terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] In order to make the purpose, technical solution and advantages of the present disclosure clearer, the implementation manners of the present disclosure will be further described in detail below in conjunction with the accompanying drawings.

[0075] Reference will now be made in detail to the exemplary embodiments, 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 implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0076] The embodiments of the present disclosure are applied in the scenario of classifying documents. When classifying a first document ...

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 provides a document classification method and device and a terminal, and belongs to the technical field of deep learning. The method comprises the following steps: determining a to-be-classified first document; determining a plurality of second documents corresponding to first option information in a plurality of pieces of option information and a plurality of third documents corresponding to second option information; determining a first prediction vector used for indicating the similarity relationship between the first option information and the second option information and a second prediction vector used for indicating the reasoning relationship between the description information and the first option information according to the description information of the first document, the plurality of the second documents and the plurality of the third documents; determining a third prediction vector of the first document according to the first prediction vector and the second prediction vector; and determining the category of the first document according to the third prediction vector. According to the document classification method and device, the category of the first document is determined by determining the similarity relation and the reasoning relation of the related documents of the first document, and therefore subjective deviation generated when the documents are classified manually is avoided, manpower consumption is reduced, and cost is reduced.

Description

technical field [0001] The present disclosure relates to the technical field of deep learning, and in particular to a document classification method, device and terminal. Background technique [0002] Students and electronic education manufacturers have increasingly strong demands for formulating personalized learning strategy algorithms. When formulating personalized learning strategies, we often recommend topics of different difficulty categories for different students according to their progress or ability. Therefore, when formulating a personalized learning strategy, it is necessary to classify the documents according to the difficulty of the topic. [0003] In related technologies, when classifying documents for a topic, the difficulty of the first document corresponding to the topic is often determined through the method of expert judgment based on the subjective judgment of the expert; or, a sample survey is conducted among students, and the topic is determined throu...

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
IPC IPC(8): G06F16/35G06F17/27
CPCG06F16/35G06F40/289
Inventor 邱昭鹏吴贤范伟
Owner TENCENT 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