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1)  Subtopic division
子话题划分
2)  sub-topic segmentation
子主题划分
1.
A novel approach for sub-topic segmentation based on maximum tree algorithm was proposed.
提出一种基于最大树法的生成多文档文摘子主题划分方法。
3)  subtopic [英]['sʌb,tɔpik]  [美]['sʌb,tɑpɪk]
子话题
1.
Current methods match the topics and stories as they are single-structured vectors of terms, which make the subtopics become noises of each other, and these noises often describe wrong semantics, by which the identification of new topics would be misled.
现有方法将话题和报道描述为单一结构的特征向量进行匹配,造成子话题间互为噪声并形成错误语义,从而误导新话题的识别。
2.
And by analyzing the evolution processing of some topic,we can know the main subtopics of the topic and some kinds of relations between the subtopics.
话题的演化分析是国内TDT的一个重要分支,是网络安全技术的一个重要研究方向,通过分析话题的演化过程,了解话题包含的主要子话题,和各个子话题之间的关系,有利于建立不同类型话题的演化模型。
3.
This paper proposes a new method based on the calculation of the subtopic similarity.
该方法采用时间片划分的思想,通过子话题间的相似度计算得到话题演化的具体过程及细节。
4)  sessionizing
会话划分
1.
As is true for the typical data mining goals, the issues of data quality and pre-processing are very important, it mainly involves data cleaning, user identification, session identification and path completion, at last we can measure the accuracy of the sessionizing.
概述了数据预处理技术,重点介绍了目前常用的会话划分算法和评价标准,并实现了一个数据预处理系统。
5)  topic distribution
话题分布
6)  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。
补充资料:话题
谈话的中心:~转了ㄧ换个~接着说。
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