1) Topic Kind Center(TKC)
话题类中心
1.
This method uses Topic Kind Center(TKC) to substitute topic model and uses named entities VSM to express TKC,updates TKC in topic tracking until TKC is stable.
针对传统自适应话题追踪中话题模型的不足,提出基于K-Modes聚类的自适应话题追踪方法(K-MATT方法),用话题类中心代替话题模型,把命名实体向量空间模型作为话题类中心,在追踪过程中不断迭代更新话题类中心,直到话题类中心稳定。
2) Topic type
话题类型
3) topic classification
话题分类
1.
According to the features of topics in TDT(Topic Detection and Tracking) system which data source comes from news Web site,the concept of topic classification was proposed.
根据数据源为新闻网站的TDT(topic detection and tracking)系统的话题特点,首先提出了话题分类思想,然后将KNN(k-nearest neighbor)算法与网站频道信息相融合对话题进行分类。
4) Topic disruption
话题中断
5) topic-flow pattern
话题流类型
6) central power discourse
中心话语
1.
It holds that Hu Shi s translation is directed by the combination of external and internal power discourse,as well as the central power discourse that usually emerges at the turning point of history.
本文从法国哲学家福柯的权力话语理论角度出发,用外部权力话语、内部权力话语及中心话语等理论,从翻译选材和译语选择两方面,探讨了胡适翻译法国短篇小说《最后一课》的活动。
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