Intensive use of correspondence analysis for information retrieval

With the huge amount of available textual data, we need to find convenient ways to process the data and to get invaluable information. It appears that the use of factorial correspondence analysis allows to get most of the information included in the data. Besides, even after the data processing, we still have a big amount of material and we need visualization tools to display it. In this paper, we show how to use correspondence analysis in a sensible way and we give an application on the analysis of the internal scientific production of an important research center in France : the INRIA, the french national institute for research in computer science and control