In this paper we summarize results of our experiments in adapting text mining algorithms to cluster computing using OpenMosix. Our primary purpose is to develop a computational environment where the time taken to perform compute intensive experiments over a large range of parameter settings is minimized. This will lead to clearer analysis of algorithms and ultimately to a better choice of models based on empirical results.