Document (#43712)

Author

Moulaison-Sandy, H.
Adkins, D.
Bossaller, J.
Cho, H.

Title

¬An automated approach to describing fiction : a methodology to use book reviews to identify affect

Source

Cataloging and classification quarterly. 59(2021) no.8, p.794-814

Year

2021

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.

Content

Vgl.: https://doi.org/10.1080/01639374.2021.1992694.

Footnote

Teil eines Themenheftes: Artificial intelligence (AI) and automated processes for subject sccess

Theme

Automatisches Indexieren
Schöne Literatur

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