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Discovering emerging topics in textual corpora of galleries, libraries, archives, and museums institutions

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  • Gustavo Candela
  • Rafael C. Carrasco

Abstract

For some decades now, galleries, libraries, archives, and museums (GLAM) institutions have provided access to information resources in digital format. Although some datasets are openly available, they are often not used to their full potential. Recently, approaches such as the so‐called Labs within GLAM institutions promote the reuse of digital collections in innovative and inspiring ways. In this article, we explore a straightforward computational procedure to identify emerging topics in periodical materials such as newspapers, bibliographies, and journals. The method is illustrated in three use cases based on public digital collections. This type of tools are expected to promote further usage by researchers of the digital collections.

Suggested Citation

  • Gustavo Candela & Rafael C. Carrasco, 2022. "Discovering emerging topics in textual corpora of galleries, libraries, archives, and museums institutions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(6), pages 820-833, June.
    • Handle: RePEc:bla:jinfst:v:73:y:2022:i:6:p:820-833
    DOI: 10.1002/asi.24583
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    References listed on IDEAS

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    1. Chandrakala D & Sumathi S & Saran Kumar A & Sathish J, 2019. "Text Clustering Using PSO Based Dynamic Adaptive SOM for Detecting Emergent Trends," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 15(3), pages 64-78, July.
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