CLMay 29, 2019

TopExNet: Entity-Centric Network Topic Exploration in News Streams

arXiv:1905.12335v28 citations
Originality Synthesis-oriented
AI Analysis

This provides a practical tool for users analyzing news streams, but it is incremental as it builds on existing entity-centric network methods.

The authors tackled the problem of exploring entity relations in news streams by developing TopExNet, a tool that uses entity-centric network representations to enable efficient and interactive topic exploration, resulting in a publicly available web service.

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/ .

Foundations

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