首页|基于改进CFSFDP算法的文本聚类方法研究

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

扫码查看
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.
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.

CFSFDP algorithmtext clusteringclustering algorithm

常娟

展开 >

陕西科技大学镐京学院,陕西 西安 712000

CFSFDP算法 文本聚类 聚类算法

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

ISSN:
年,卷(期):2024.(21)