Romantic relationships vary in quality, and the purpose of the present investigation was to examine a wide scope of linguistic variables as possible markers of this variability. Ninety-six undergraduate students within committed romantic relationships were asked to write freely about their partnership, following which they reported on relationship…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…