TopExNet:新闻流中以实体为中心的网络主题探索

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining Pub Date : 2019-01-30 DOI:10.1145/3289600.3290619

Andreas Spitz, Satya Almasian, Michael Gertz

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引用次数: 7

摘要

最近引入的以实体为中心的非结构化文本隐式网络表示为有效和交互式地探索文档集合和流中的实体关系提供了新的方法。在这里，我们将TopExNet作为在新闻文章流中探索以实体为中心的网络主题的工具。该应用程序可作为web服务访问https://topexnet.ifi.uni-heidelberg.de。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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TopExNet: Entity-Centric Network Topic Exploration in News Streams

The recent introduction of entity-centric implicit network representations of unstructured text offers novel ways for exploring entity relations in document collections and streams efficiently and interactively. Here, we present TopExNet as a tool for exploring entity-centric network topics in streams of news articles. The application is available as a web service at https://topexnet.ifi.uni-heidelberg.de.

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来源期刊

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

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