This document discusses approaches to analyzing immigrant narratives found in literature. It questions whether there is a typical immigrant narrative and explores using computational methods like topic modeling and sentiment analysis to analyze plots across a corpus of immigrant novels from 1870-1940. The document considers issues around defining subjective relationships to nationality through text and balancing close reading of individual works with analysis of broader trends. It presents potential methods like using Syuzhet to model plot sentiment and applying topic modeling to an immigration subject corpus from HathiTrust. Feedback is sought on feasibility of different approaches and corpus sizes.