Financial Information Extraction and Visualization

Abstract

In the scope of this thesis we are addressing two challenges, automated information extraction and its comprehensible visualization. The first part is concerned with identification of possibly interesting financial data from newspaper articles and their extraction. We are proposing a new approach to recognize named entities using DBpedia, we are identifying financial relations and extracting monetary data. Next, to communicate obtained information clearly, a tool for visualizing the financial cost of recognized entities is introduced. As we developed an advanced system, which helps people to reinforce their finance-related knowledge, we believe that the thesis?s objective was met.