摘要
对话题演化进行形式化描述,探讨了基于全局和局部话题演化的2种建模方式,并应用话题相似度和困惑度进行评测.对房地产话题和奥运会话题进行实例分析,给出了2种不同建模方法在话题演化方面的优缺点.两会报告实验结果表明,全局话题演化能够获得较好的模型参数,方法简单可靠;而局部话题演化则能产生细粒度话题,反映新话题的产生和旧话题的消亡.
Topic evolution means the changes of contents and strength of a topic over time. This paper first gives the definition of topic evolution, describes two methods of topic evolution based on global and local documents. Two metrics of topic similarity and perplexity are used to evaluate both methods. The evolu tions of the two topics (the real estate vs. the 2008 Olympic games) are analyzed. The experiments on the recent five years of NPC&CPPCC news reports show that topic evolution based on global documents can get good topic model, the evolution method is easy, while topic evolution based on local documents can produce fine topics and show the arising of new topics and the vanishing of old topics.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2012年第11期1753-1758,共6页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金资助项目(60873134)
关键词
文字信息处理
狄利特利分布
话题关联和演化
text information processing
latent dirichlet allocation
topic detection and evolution