Information Extraction from Unstructured Data

Information extraction from unstructured data is a wide and relatively recent domain. For this research project, the focus will be on the information extraction from finance reports and news, more precisely related to the commodities market. This includes Natural Language Processing (NLP), expert systems (such as ontology-based systems) and information fusion as tools for analysing qualitative information in finance and producing investment decisions. NLP is a science studying the automated understanding of natural human languages. This study will investigate which NLP methods, and to what extent, we can use to extract the relevant information from financial literature.

Faculty Supervisor:

Dr. Jiri Patera

Student:

Marie-Odette St-Hilaire

Partner:

OODA Technologies Inc

Discipline:

Mathematics

Sector:

Information and communications technologies

University:

Université de Montréal