Monitoring financial market using French written textual data

This paper describes the implementation of a French language information extraction system that can extract key terms from French written financial texts to provide information regarding direction of market trend. The aim is to reduce reading workload on financial investors, especially in stock market business, whereby large amount of available textual data is to be assimilated and interpreted in a limited period of time. Results obtained show that accuracy of the technique employed in information extraction is very promising and can very well be considered as an important step in advanced applications like information management and knowledge discovery from textual data.