# TopExNet: Entity-Centric Network Topic Exploration in News Streams

arXiv: https://arxiv.org/abs/1905.12335 · HTML: https://mlsanity.com/paper/1905.12335/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 29 May 2019.

## Built on by (most cited first, 1 of 1)

- [How News Evolves? Modeling News Text and Coverage using Graphs and Hawkes Process](https://mlsanity.com/paper/2112.03008/) (2021)

## Abstract (arXiv)

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/ .