Experimental results show that the project can effectively improve the performance of the topic detection, and show the process of the topic evolvement clearly.
实验证明，该方案能够有效提高话题检测性能、清晰呈现话题演变过程。
Experiment results show that, compared to the traditional topic detection methods, the new method can improve precision and recall of topic detection efficiently.
实验结果表明，本方法能够有效提高话题检测的准确率和召回率。
New topic detection is an important research in the field of topic detection and tracking.
新话题监测是话题检测与跟踪领域的一项重要研究。
As an important subtask of topic detection and tracking, topic tracking identifies and collects relevant stories on certain topics from information stream.
作为话题检测与跟踪的重要研究子课题，话题跟踪针对特定话题，识别后续信息流中的相关报道。
In this paper, we proposed a method to discover topic's evolution over time by topic detection, topic filtering and relating topics in different time periods.
本文提出了一种挖掘新闻话题随时间变化的方法，通过话题抽取、话题过滤和话题关联实现话题的演化。
For new topic detection at the event level, method based on clustering was discussed mainly, which included the representation of documents, and document clustering.
对于事件层的新话题监测，主要阐述基于聚类的方法，包括文档的向量化表示以及文档聚类。
Topic detection and tracking (TDT) aims to develop a series of technologies for event based information organization, and hierarchical topic detection (HTD) is a new task of it.
针对互联网上论坛和新闻网站发布的海量自然语言文本，该文设计一个话题识别与跟踪系统，将海量的数据分类整理并聚合形成各个话题。
The experiments on TDT5 corpora indicated that: the new algorithm improved the accuracy of topic detection and decreased the computational overhead in the process of news data processing.
在TDT5语料库上的实验表明，该算法提高了话题检测的正确率，降低了新闻报道数据处理过程中的计算开销。
New event detection is an important research in the field of topic detection and tracking, and its task is real-time monitoring the stream of news stories and identifying the new topics in it.
新事件检测是话题检测与跟踪领域的一项重要研究，其任务是实时监控新闻报道流并从中识别新话题。
Topic detection and topic tracking are two tasks of TDT.
话题检测、话题跟踪分别是TDT的两项子任务。
Text clustering is an important technology for Topic Detection and Tracking.
文档聚类是实现话题检测与跟踪的重要方法。
At present, there are many researches about Topic Detection and Tracking, but these analyses aim at news events mainly.
目前对话题识别和话题跟踪的研究非常多，但这大都是对新闻事件进行分析。
Topic Detection and Tracking is a research driven by evaluation, which intends to organize and utilize information stream of texts according to event.
话题发现与跟踪是一项评测驱动的研究，旨在依据事件对语言文本信息流进行组织利用。
Topic Detection and Tracking (TDT) can help us to organize the potential information so that we can grasp all the details about events and the relations between events.
话题检测与跟踪（TDT）技术可以帮助人们把分散的信息有效地汇集并组织起来，从整体上了解一个事件的全部细节以及该事件与其它事件之间的关系。
Topic detection technique can be used to detect news topics from a great amount of news stream, and help us organize and utilize news information according to their topics.
利用主题检测技术可以从海量新闻信息中实时检测到主题信息，从而将新闻信息按照主题组织并加以利用。
Topic detection technique can be used to detect news topics from a great amount of news stream, and help us organize and utilize news information according to their topics.
利用主题检测技术可以从海量新闻信息中实时检测到主题信息，从而将新闻信息按照主题组织并加以利用。
应用推荐