| 基于层叠模型的话题检测方法研究 |
| |
| 引用本文： | 谢林燕,张素香,戚银城.基于层叠模型的话题检测方法研究[J].郑州大学学报(理学版),2012(2):43-47. |
| |
| 作者姓名： | 谢林燕 张素香 戚银城 |
| |
| 作者单位： | 华北电力大学电子与通信工程系;国网信息通信有限公司 |
| |
| 摘 要： | 针对相似话题难以区分的问题,提出了基于层叠模型的话题检测方法.该方法以Single-Pass聚类策略为基础,将新闻实体信息运用到话题检测中,改进时间相似度和地点相似度的计算方法,在底层利用文本内容相似度完成话题检测的任务,在高层结合时间相似度和地点相似度完成话题检测的任务.实验结果表明,该方法的性能优于传统的文本相似度算法.
|
| 关 键 词： | 话题检测 相似话题 向量空间模型 层叠模型 |
Topic Detection Research Based on Cascade Model |
| |
| XIE Lin-yan,ZHANG Su-xiang,QI Yin-cheng.Topic Detection Research Based on Cascade Model[J].Journal of Zhengzhou University:Natural Science Edition,2012(2):43-47. |
| |
| Authors: | XIE Lin-yan ZHANG Su-xiang QI Yin-cheng |
| |
| Institution: | 1(1.Department of Electronic and Communication Engineering,North China Electric Power University,Baoding 071003,China;2.State Grid Information & Telecommunication Co.,Ltd.,Beijing 100053,China) |
| |
| Abstract: | A novel approach was proposed based on the cascade model for the topic detection to effectively distinguish similar topics.Based on Single-Pass clustering algorithm,the entity information was used in topic detection,two similarity methods were proposed,including time-based similarity and location-based similarity.Moreover,at the bottom level of the system,content-based similarity was used to realize topic detection task.At the top level of the system,three similarity results were effectively combined to realize topic detection task.Experimental results showed that the performance of this novel algorithm was superior to the traditional text similarity algorithm. |
| |
| Keywords: | topic detection similar topic vector space model(VSM) cascade model |
| 本文献已被 CNKI 等数据库收录！ |
|
