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TopExNet : Entity-Centric Network Topic Exploration in News Streams

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2019

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Almasian, Satya
Gertz, Michael

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https://doi.org/10.1145/3289600.3290619
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http://arxiv.org/abs/1905.12335v2

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WSDM '19 : Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. New York, NY: ACM, 2019, pp. 798-801. ISBN 978-1-4503-5940-5. Available under: doi: 10.1145/3289600.3290619

Zusammenfassung

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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004 Informatik

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The Twelfth ACM International Conference on Web Search and Data Mining (WSDM ’19), 11. Feb. 2019 - 15. Feb. 2019, Melbourne, Australia
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ISO 690SPITZ, Andreas, Satya ALMASIAN, Michael GERTZ, 2019. TopExNet : Entity-Centric Network Topic Exploration in News Streams. The Twelfth ACM International Conference on Web Search and Data Mining (WSDM ’19). Melbourne, Australia, 11. Feb. 2019 - 15. Feb. 2019. In: WSDM '19 : Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining. New York, NY: ACM, 2019, pp. 798-801. ISBN 978-1-4503-5940-5. Available under: doi: 10.1145/3289600.3290619
BibTex
@inproceedings{Spitz2019-05-29T11:28:37ZTopEx-55681,
  year={2019},
  doi={10.1145/3289600.3290619},
  title={TopExNet : Entity-Centric Network Topic Exploration in News Streams},
  isbn={978-1-4503-5940-5},
  publisher={ACM},
  address={New York, NY},
  booktitle={WSDM '19 : Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining},
  pages={798--801},
  author={Spitz, Andreas and Almasian, Satya and Gertz, Michael}
}
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