TopExNet: Entity-Centric Network Topic Exploration in News Streams
Computation and Language
2019-06-03 v2
Abstract
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/ .
Cite
@article{arxiv.1905.12335,
title = {TopExNet: Entity-Centric Network Topic Exploration in News Streams},
author = {Andreas Spitz and Satya Almasian and Michael Gertz},
journal= {arXiv preprint arXiv:1905.12335},
year = {2019}
}
Comments
Published in Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019