2 papers
cs.IR2019
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
Hannah Kim, Dongjin Choi, Barry Drake +2
Topic modeling is commonly used to analyze and understand large document collections. However, in practice, users want to focus on specific aspects or "targets" rather than the ent…
cs.CY2018
Understanding Actors and Evaluating Personae with Gaussian Embeddings
Hannah Kim, Denys Katerenchuk, Daniel Billet +3
Understanding narrative content has become an increasingly popular topic. Nonetheless, research on identifying common types of narrative characters, or personae, is impeded by the…