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  • × author_ss:"Moulaison-Sandy, H."
  1. Moulaison-Sandy, H.; Adkins, D.; Bossaller, J.; Cho, H.: ¬An automated approach to describing fiction : a methodology to use book reviews to identify affect (2021) 0.00 
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    Abstract
    Subject headings and genre terms are notoriously difficult to apply, yet are important for fiction. The current project functions as a proof of concept, using a text-mining methodology to identify affective information (emotion and tone) about fiction titles from professional book reviews as a potential first step in automating the subject analysis process. Findings are presented and discussed, comparing results to the range of aboutness and isness information in library cataloging records. The methodology is likewise presented, and how future work might expand on the current project to enhance catalog records through text-mining is explored.
  2. Dobreski, B.; Snow, K.; Moulaison-Sandy, H.: On overlap and otherness : a comparison of three vocabularies' approaches to LGBTQ+ identity (2022) 0.00 
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    Abstract
    Bibliographic records can include information from controlled vocabularies to capture identities about individuals, especially about authors or intended audiences; personal name authority records can also contain information about identity. Employing a systematic analysis of the overlap of the Homosaurus, Library of Congress Subject Headings (LCSH), and Library of Congress Demographic Group Terms (LCDGT), this article explores the extent to which LGBTQ+ identities are represented in the three vocabularies. Despite LCSH's long, iterative history of development and the faceted, post-coordinate nature of LCDGT, neither vocabulary was found to be adequate in covering the complex, LGBTQ+ identities represented in the Homosaurus.

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