Computational Poetry Analysis: AI for Literature
Choi’s research focuses on the intersection of technology, humans, and music. This project will develop AI-based NLP systems that achieve a high-level understanding of a poem, such as its emotion and theme. Her project will focus on three questions: 1) Can advanced deep learning-based language processing models, such as BERT, decipher emotions and themes of poems? 2) Can learned model on song lyrics be re-purposed for poem content analysis, given their common characteristics? 3) Do auxiliary data, such as authors’ notes on their poems and crowdsourced word emotion labels, provide additional information to the poem analysis systems?
The Luddy Faculty Fellows program, funded as part of a transformative, $60 million gift from Fred Luddy in 2019, is designed to support excellence in research that is—or promises to be—important, imaginative, or timely.