document: Near real time information mining in multilingual news 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 articles .
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