  We investigate the characteristics of factual and emotional argumentation
styles observed in online debates. Using an annotated set of "factual" and
"feeling" debate forum posts, we extract patterns that are highly correlated
with factual and emotional arguments, and then apply a bootstrapping
methodology to find new patterns in a larger pool of unannotated forum posts.
This process automatically produces a large set of patterns representing
linguistic expressions that are highly correlated with factual and emotional
language. Finally, we analyze the most discriminating patterns to better
understand the defining characteristics of factual and emotional arguments.
