As the amounts of textual data generated by different economic, social, and scientific systems are increasing over time, having computerized systems that exploit the potential and valuable knowledge becomes a need. In our work, we propose a syntactic relation discovery system that explores potential relations between interesting domain entities and summarizes all valuable relations in a visualized and easy to understand network graph. This exploratory analysis should define research paths in different domains and guide researchers through more advanced inferential, predictive and causality analyses.
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