The Study of Economic Phenomena Using Big-Data
For promoting the globalization and diversification of enterprises and perceiving the growth and transaction cost of enterprises, it is necessary to accumulate 'Big' amount of information that is not available in the past. This research integrates the information of global supply chain, financial statement, trading order by econophysics methodology to rapidly identify the state of enterprises and trading environments in asset management.
Natural Language Processing Methods for Financial Information
Efficiently collecting information from text is important in financial analyses. However, given the volume of text data and the complexity involved in extracting relevant information there are limits on the extent to which humans can process such data. In this research, we apply natural language processing techniques (such as text classification and information extraction) to establish novel solutions, which can efficiently provide important, structured and comprehensible information.