Near real time information mining in multilingual news

  title={Near real time information mining in multilingual news},
  author={Martin Atkinson and Erik Van der Goot},
This paper presents a near real-time multilingual news monitoring and analysis system that forms the backbone of our research work. The system integrates technologies to address the problems related to information extraction and analysis of open source intelligence on the World Wide Web. By chaining together different techniques in text mining, automated machine learning and statistical analysis, we can automatically determine who, where and, to a certain extent, what is being reported in news… CONTINUE READING
Highly Cited
This paper has 74 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 47 extracted citations

Matrix-Based News Aggregation: Exploring Different News Perspectives

2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL) • 2017
View 4 Excerpts
Highly Influenced

Refining Border Security News Event Geotagging through Deployment of Lexico-Semantic Patterns

2012 European Intelligence and Security Informatics Conference • 2012
View 3 Excerpts
Highly Influenced

Methods for Interactive Exploration of Large-Scale News Streams

Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web • 2010
View 3 Excerpts
Highly Influenced

75 Citations

Citations per Year
Semantic Scholar estimates that this publication has 75 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

CORLEONE - Core Linguistic Entity Online Extraction

J. Piskorski
Technical Report EUR 23393 EN, European Commission, • 2008
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…