We report initial results on the relatively novel task of automatic classification of author personality. Using a corpus of personal weblogs, or `blogs', we investigate the accuracy that can be achieved when classifying authors on four important personality traits. We explore both binary and multiple classification, using differing sets of n-gram features. Results are promising for all four traits examined.