计算机与数字工程2017，Vol.45Issue(5)：954-957,4.DOI:10.3969/j.issn.1672-9722.2017.05.034
基于微博标签和LDA的微博主题提取算法
A Topic Extraction for Micro-blog Based on Micro-blog Tags and LDA
摘要
Abstract
According to the characteristics of micro-blog text,this paper takes the micro-blog three kinds of special symbols,"@","//"and"#",into consideration for topic extraction analysis of micro-blog text. On the basis of the traditional LDA model,a micro-blog tag LDA model is established,which considers the micro-blog theme,forwarded micro-blog,micro-blog comment con?tent,and enhances the accuracy of the extraction of micro blog theme. Experimental results show that the algorithm proposed in this paper has a good effect on the topic extraction of Sina micro-blog.关键词
微博/主题提取/LDA/微博标签Key words
micro-blog/topic extraction/LDA/micro-blog tags分类
信息技术与安全科学引用本文复制引用
邓丹君,姚莉..基于微博标签和LDA的微博主题提取算法[J].计算机与数字工程,2017,45(5):954-957,4.基金项目
湖北理工学院校级科研项目(编号:15xjz02Q,15xjz03Q)资助. （编号:15xjz02Q,15xjz03Q）
