TextPool: Visualizing Live Text Streams

C. Albrecht-Buehler, Benjamin Watson, David A. Shamma
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引用次数: 12

Abstract

In today's fast-paced world it is becoming increasingly difficult to stay abreast of the public discourse. With the advent of hundreds of closed-captioned cable channels and internet-based channels such as news feeds, blogs, or email, knowing the "buzz" is a particular challenge. TextPool addresses this problem by quickly summarizing recent content in live text streams. The summarization is a dynamically changing textual collage that clusters related terms. We tested TextPool with the content of several RSS newswire feeds, which are updated roughly every five minutes. TextPool was able to handle this bandwidth well, and produced useful summarizations of feed content.
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TextPool:可视化实时文本流
在当今快节奏的世界里,跟上公共话语的步伐变得越来越困难。随着数以百计的闭路电视频道和基于互联网的频道(如新闻提要、博客或电子邮件)的出现,了解“热门话题”是一项特别的挑战。TextPool通过快速总结实时文本流中的最新内容来解决这个问题。摘要是一种动态变化的文本拼贴,将相关术语聚在一起。我们用几个RSS新闻提要的内容对TextPool进行了测试,这些提要大约每五分钟更新一次。TextPool能够很好地处理这种带宽,并生成有用的提要内容摘要。
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