A Multi-Dimensional Bayesian Approach to Lexical Style

Julian Brooke and Graeme Hirst

We adapt the popular LDA topic model (Blei et al., 2003) to the representation of stylistic lexical information, evaluating our model based on human-interpretability at the word and text level. We show, in particular, that this model can be applied to the task of inducing stylistic lexicons, and that a multi-dimensional approach is warranted given the correlations among stylistic dimensions.