1) topic detection
![点击朗读](/dictall/images/read.gif)
话题发现
1.
In order to effectively eliminate the effect that the diversification of network topic related focuses have on the accuracy of network hotspot topic detection,a network topic multiple-center model is proposed.
为了有效消除网络话题相关报道内容侧重点变化对网络话题发现准确性的影响,提出了网络话题多中心模型。
2) topic detection and tracking
![点击朗读](/dictall/images/read.gif)
话题发现与追踪
1.
As a key technology of topic detection and tracking,story link detection is always a issue from the beginning.
本文首先简单介绍了话题发现与追踪的发展史及主要任务,然后重点分析比较了现有话题关联识别模型的使用情况,并测试了文档中各层次知识特征对话题关联识别性能的影响。
3) topic detection and tracking
![点击朗读](/dictall/images/read.gif)
话题发现与跟踪
1.
Since 1996,topic detection and tracking has obtained extensive attention and has encountered great challenge when making great progress.
自1996年话题发现与跟踪评测启动以来,该研究受到普遍关注,取得巨大进步,也遇到诸多困难。
2.
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。
4) hot topic detection
![点击朗读](/dictall/images/read.gif)
热点话题发现
1.
The Experiments show that this algorithm is effective for Internet hot topic detection.
![点击朗读](/dictall/images/read.gif)
本文提出了一种基于主题词的网络热点话题发现算法。
6) Bursty topics
![点击朗读](/dictall/images/read.gif)
突发话题
补充资料:话题
谈话的中心:~转了ㄧ换个~接着说。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条