中国高新科技2024,Issue(21) :29-31.DOI:10.13535/j.cnki.10-1507/n.2024.21.06

基于改进CFSFDP算法的文本聚类方法研究

Research on text clustering method based on improved CFSFDP algorithm

常娟
中国高新科技2024,Issue(21) :29-31.DOI:10.13535/j.cnki.10-1507/n.2024.21.06

基于改进CFSFDP算法的文本聚类方法研究

Research on text clustering method based on improved CFSFDP algorithm

常娟1
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作者信息

  • 1. 陕西科技大学镐京学院,陕西 西安 712000
  • 折叠

摘要

为进一步提升电信投诉文本的聚类效果,以便更高效地分析与处理用户反馈,文章首先概述CFSFDP算法与差分进化算法;其次,设计一种改进的CFSFDP聚类方法,运用差分进化算法实现了对CFSFDP算法中重要参数的自动寻优,大幅提高聚类准确性;最后,通过实验说明本文设计的改进方法在聚类精度、纯度、召回率及F值等指标上表现出色,从而为电信投诉文本高效聚类提供了创新解决方案.

Abstract

In order to further improve the clustering effect of Telecom complaint text,so as to analyze and process user feedback more efficiently,this paper first summarizes CFSFDP algorithm and differential evolution algorithm;secondly,an improved CFSFDP clustering method is designed,and the differential evolution algorithm is used to automatically optimize the important parameters of CFSFDP algorithm,which greatly improves the clustering accuracy;finally,experiments show that the improved method designed in this paper performs well in clustering accuracy,purity,recall rate and F value,which provides an innovative solution for efficient clustering of Telecom complaint text.

关键词

CFSFDP算法/文本聚类/聚类算法

Key words

CFSFDP algorithm/text clustering/clustering algorithm

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出版年

2024
中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

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