Conceptual metaphor research has benefited from advances in discourse analyticand corpus linguistic methodologies over the years, especially given recentdevelopments with Natural Language Processing (NLP) technologies. Suchtechnologies are now capable of identifying metaphoric expressions across largebodies of text. Here we focus on how one particular analytic tool, MetaNet, canbe used to study everyday discourse about personal and social problems, inparticular, poverty and cancer, by leveraging reusable networks of primarymetaphors enhanced with specific metaphor subcases. We discuss the advantages ofthis approach in allowing us to gain valuable insights into cross-linguisticmetaphor commonalities and variation. To demonstrate its utility, we analyzecorpus data from English and Spanish.