Conceptual ascendant feature extraction of a financial corpus

Abstract

In the scope of Financial Watch project, in order to create a feature of a corpus reflecting its semantic structure, a general algorithm of text micro structuring and browsing is proposed. The same conceptual algorithm has been extended recursively to derive the macro feature of a space of documents, in an ascendant way. Obtained browsing system based on the extracted feature proved to help for a fast convergence to the user request. The same tool is extendable for report generation from a corpus, based on a general feature. The main goal of this paper is to propose new experiences on document feature composition, in order to compare different varieties of algorithms and find out better paradigms with respect to some well defined criteria.