计算机与数字工程2017，Vol.45Issue(11)：2244-2247,2284,5.DOI:10.3969/j.issn.1672-9722.2017.11.034
基于朴素贝叶斯网络的微博话题追踪技术研究
Research on Micro-blog Topic Tracking Based on Naive Bayesian Network
冯军军 1贺晓春 1王海沛1
作者信息
- 1. 四川信息职业技术学院 广元 628017
- 折叠
摘要
Abstract
According to the characteristics of micro-blog,this paper proposes micro-blog topic tracking algorithm based on na-ive Bayesian network model,and at the base of the foregoing improved DF text feature selection method,the micro-blog topic track-ing system is designed and implemented. The experimental results show that micro-blog topic tracking system based on the naive Bayesian network model is simple,efficient,especially suitable for tracking hot topics on micro-blog.关键词
朴素贝叶斯网络/微博/话题追踪Key words
naive Bayesian/micro-blog/topic tracking分类
信息技术与安全科学引用本文复制引用
冯军军,贺晓春,王海沛..基于朴素贝叶斯网络的微博话题追踪技术研究[J].计算机与数字工程,2017,45(11):2244-2247,2284,5.
