基于免疫网络学习机制的中文网络短文本聚类算法

Chinese network short text clustering algorithm based on immune network learning mechanism

近些年来,越来越多人习惯用网络上的文本来写作或者记录一些比较重要的事情。如果网络安全工作没做好,将会给个人带来一些不必要的损失。为了避免这种情况的出现,可以用网络短文本聚类来保护网络文本内容的安全。但网络文本聚类在使用过程中也有自身的缺点,例如网络文本的关键词不够准确、存在大量的变形词等,本文主要就是针对这种情况提出基于免免疫网络学习的文本聚类算法,首先选择合适的拼音序列组成网络文本来表示,然后将选择的文本构建一个学习机制,从中找到网络文本聚类之间的联系,致力于获得一个合理的结果。

In recent years,more and more people are used to writing or recording some of the more important things using the text on the Internet.If the network security work is not done well,it will bring some unnecessary losses to the individual.In order to avoid this situation,network short text clustering can be used to protect the security of network text content.But the network text clustering in the use of the process also has its own shortcomings,such as keyword network text is not accurate enough,there are a lot of deformation words,this paper is mainly for the proposed text clustering algorithm based on immune network free learning,first select the appropriate phonetic sequences to represent text network,then select the text to construct a learning mechanism,found between the network connection from text clustering,to get a reasonable result.