@article {rhody_topic_2012,
	title = {Topic Modeling and Figurative Language},
	journal = {Journal of Digital Humanities},
	volume = {2},
	number = {1},
	year = {2012},
	note = {00000},
	abstract = {Rhody addresses the tension and complications of computing figurative language with topic modelling tools. Topic modelling, Rhody argues, fails when handling figurative language because topic modelling is unable to compute and preserve language{\textquoteright}s many possible meanings. However, Rhody asserts that these apparent "failures" are part of the reason topic modelling works on texts defined by their figurative language: "[S]omewhere between the literary possibility held in a corpus of thousands of English-language poems and the computational rigor of Latent Dirichlet Allocation (LDA), there is an interpretive space." Rhody recounts her experience using topic modelling to explore ekphrasis poetry. Rhody began her research by comparing topics generated by non-figurative texts with the topics generated from a collection of poetry. The result was that the thematic clarity apparent in non-figurative topics did not translate when analyzing a collection of poetry. Rhody asserts that "[T]opic models of poetry do have a form of comprehensibility, but our understanding of coherence between topic keywords needs to be slightly different in models of poetry than in models of non-fiction texts."},
	keywords = {Applications and Critiques, No. 1 Winter 2012, Vol. 2},
	url = {http://journalofdigitalhumanities.org/2-1/topic-modeling-and-figurative-language-by-lisa-m-rhody/},
	author = {Rhody, Lisa M.}
}