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Visualizing live text streams using motion and temporal pooling

机译：使用运动和时间池可视化实时文本流

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摘要

The informational context in which we live and work is becoming increasingly complex and rich, with information much more plentiful and accessible than ever before. Our informational context is also faster paced, with news and developments spreading across media and the Internet at an often astounding rate. In today's competitive world, the first response to a trend is usually the most effective. Thus far, the technology responsible for this information complexity offers little to help us quickly understand and act upon it. Although visualization is useful, its techniques are typically too slow or simply not designed to help users understand highly time-sensitive and dynamic information streams. To address this, we developed TextPool, a system that uses temporal pooling to visualize live text streams such as newswires and system telemetry. In temporal pooling, systems gather recent stream content into a buffer (pool) to use for visualization. Because the stream continues to flow through the pool in real time, the visualization must be dynamic, using motion to respond to the pool's changing content. The TextPool system processes live text streams in real time using information retrieval techniques, extracts the most frequently occurring salient terms from the buffered streams, and displays related terms next to one another in a dynamic text collage.
机译：我们生活和工作的信息环境正变得越来越复杂和丰富，信息比以往任何时候都更加丰富和可访问。我们的信息环境也以更快的速度发展，新闻和发展动态以惊人的速度在媒体和互联网上传播。在当今竞争激烈的世界中，对趋势的第一反应通常是最有效的。到目前为止，造成这种信息复杂性的技术几乎无法帮助我们快速理解并采取行动。尽管可视化很有用，但其技术通常太慢或根本无法帮助用户理解高度时间敏感和动态的信息流。为了解决这个问题，我们开发了TextPool，这是一个使用时间池来可视化实时文本流（例如新闻专线和系统遥测）的系统。在临时池中，系统将最新的流内容收集到缓冲区（池）中以进行可视化。由于流继续实时实时流过池，因此可视化必须是动态的，使用运动来响应池中不断变化的内容。 TextPool系统使用信息检索技术实时处理实时文本流，从缓冲的流中提取最频繁出现的显着术语，并在动态文本拼贴中彼此相邻显示相关术语。

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