词向量嵌入在优化聚类算法中的应用

Application of Word Vector Embedding in Optimized Clustering Algorithm

为提高聚类算法处理文本数据的效率和效果,本文研究词嵌入技术在文本聚类任务中的有效性和实用性。通过对航空公司服务评论数据集的实证分析,结果显示,词向量嵌入技术能有效捕获语义信息,显著提升聚类准确性和解释性。

To improve the efficiency and effectiveness of clustering algorithms in processing text data,this paper investigates the effectiveness and practicality of word embedding technology in text clustering tasks.Through empirical analysis of the airline service review dataset,the results show that word vector embedding technology can effectively capture semantic information,significantly improve clustering accuracy and interpretability.