We explore the use of song lyrics for automatic indexing of music. Using lyrics mined from the Web we apply a standard text processing technique to characterize their semantic content. We then determine artist similarity in this space. We found lyrics can be used to discover natural genre clusters. Experiments on a publicly available set of 399 artists showed that determining artist similarity using lyrics is better than random but inferior to a state-of-the- art acoustic similarity technique. However, the approaches made different errors, suggesting they could be profitably combined. Notes: Copyright IEEE To be published in and presented at the IEEE International Conference on Multimedia and Expo, 27-30 June 2004, Taipei, Taiwan 7 Pages