Financial data tombs and nurseries: A grid-based text and ontological analysis
Khurshid Ahmad, Lee Gillam · 2007
Continuous news streams provide valuable and time-critical information across a range of financial market stakeholders. The large volume of such news makes it important to extract information automatically from these data nurseries. In many cases it is essential to repeatedly process a large news archive as and when news arrives and it has to be reconciled with what has happened in the past. An algorithm is presented that can analyse a large text collection and extract terminology and ontology of the specialist domain of the texts. The state of flux of financial markets and instruments traded therein can be observed with a diachronic analysis. We report on a grid implementation of our algorithm and show a degree of diachronic change in the use of certain terms in texts at one time with texts at another.