Research on Text Feature Extraction Based on Hybrid Parallel Genetic Algorithm
基于混合并行遗传聚类的文本特征抽取方法研究

Issues of synonymy and strong relational semantic information increase the feature dimension of text vector,which embarrasses the efficiency and precision of text classification.In order to decrease the feature dimension of text vector,a method of text feature extraction based on hybrid parallel genetic clustering algorithm was proposed in this paper.Firstly,K-means algorithm is used to perform thick-granularity clustering for feature words.Successively,hybrid parallel genetic algorithm is used to perform t...