I would still expect it to tend towards the normal distribution across a large set of documents. If you model positive and negative word counts as a binomial distribution, you have the the difference of two samples from different binomial distributions which would still tend towards normal (I think, though I'm not 100% sure, certainly it's true within my experience). A logarithm would skew away from positive to negative sentiment and is undefined for negative values.