Unlock instant, AI-driven research and patent intelligence for your innovation.

A Text Feature Selection Method Based on Rice Breeding-Binary Ant Colony Hybrid Algorithm

A feature selection method and hybrid algorithm technology, applied in the fields of machine learning and natural language processing, can solve problems such as slow convergence speed, and achieve the effect of improving performance and solving efficiently

Active Publication Date: 2022-08-05
HUBEI UNIV OF TECH
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the heuristic information of the binary ant colony algorithm is randomly generated during initialization, the convergence speed is slow, and it is possible to obtain only a local optimal solution in the end.

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
  • A Text Feature Selection Method Based on Rice Breeding-Binary Ant Colony Hybrid Algorithm
  • A Text Feature Selection Method Based on Rice Breeding-Binary Ant Colony Hybrid Algorithm
  • A Text Feature Selection Method Based on Rice Breeding-Binary Ant Colony Hybrid Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] In order to better understand the present invention, the content of the present invention is further described below in conjunction with the specific embodiments and with reference to the accompanying drawings, but the content of the present invention is not limited to the following implementation. Those skilled in the art can make changes and modifications to the present invention, and these equivalent forms are also within the scope defined by the claims listed in this application.

[0062] see figure 1 , figure 2 , the technical scheme adopted in the present invention is: a text feature selection method based on rice breeding-binary ant colony hybrid algorithm, which is characterized in that it includes the following steps:

[0063] Step 1: Preprocess the original text data set, convert it into a text vector D that can be directly processed by the computer after word segmentation and removal of stop words, then the text vector D can use its feature items and their ...

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 discloses a text feature selection method based on a hybrid rice breeding-binary ant colony algorithm. In order to solve the problem of high-dimensional and sparse text feature vectors, in the present invention, the traditional feature selection method is used to preselect the original features. In the above, features were reselected using a hybrid rice breeding-binary ant colony algorithm. After the rice breeding algorithm finishes running, the visibility information of the binary ant colony algorithm is set according to the results obtained by the rice breeding algorithm; the binary ant colony algorithm searches in the binary network according to the provided visibility information and the corresponding pheromone, until the stopping condition is satisfied. Output the optimal subset of text features. The present invention can effectively extract feature subsets that are beneficial to text representation, lay a good foundation for subsequent text classification, and improve the classification effect.

Description

technical field [0001] The invention relates to the fields of natural language processing and machine learning, and relates to a feature selection method, in particular to a text feature selection method based on a rice breeding-binary ant colony hybrid algorithm. Background technique [0002] The 21st century is the information age, and the massive data generated every day is mainly transmitted to readers in the form of text. Text classification technology can effectively speed up the speed of users' querying information, and at the same time facilitate users to select information in areas of interest. Therefore, it is of great significance and value to efficiently classify these massive data. [0003] After preprocessing, the set of words in the text is obtained. However, the number of words in the obtained set of words is very huge, which can reach tens of thousands or even hundreds of thousands. If the preprocessed text data is directly used for classification, for class...

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 Patents(China)
IPC IPC(8): G06F16/35G06F40/216G06N3/00
CPCG06F16/353G06F40/216G06N3/006
Inventor 叶志伟舒哲刘诗芹闫春艳陈璇李瑞成刘畅杨光泽
Owner HUBEI UNIV OF TECH