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Automatic image tagging for corpus linguistics : a multimodal study of news representations of Islam / Paul Baker, Hanna Schmück, Yufang Qian.

By: Contributor(s): Material type: TextSeries: Cambridge elements. Elements in corpus linguistics,Publisher: Cambridge : Cambridge University Press, 2025Description: 1 online resource (81 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781009581233 (ebook)
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 410.188 23
LOC classification:
  • P128.C68 B34 2025
Online resources: Summary: This Element reports on the creation and analysis of a 1.5-million-word corpus consisting of a year's worth of UK national press news articles about Islam and Muslims, published between December 2022 and November 2023. The corpus also contains 8,546 image files which have been automatically tagged using Google's Vertex AI. Analysis was carried out on three levels a) written text only, b) images only, c) interactions between written text and images. Using examples from the analyses, the authors demonstrate the affordances of these three approaches, providing a critical evaluation of Vertex AI's capabilities and the abilities of popular corpus software to work with visually tagged corpora. The Element acts as a practical guide for researchers who want to carry out this form of analysis. This title is also available as Open Access on Cambridge Core.
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Title from publisher's bibliographic system (viewed on 18 Jul 2025).

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This Element reports on the creation and analysis of a 1.5-million-word corpus consisting of a year's worth of UK national press news articles about Islam and Muslims, published between December 2022 and November 2023. The corpus also contains 8,546 image files which have been automatically tagged using Google's Vertex AI. Analysis was carried out on three levels a) written text only, b) images only, c) interactions between written text and images. Using examples from the analyses, the authors demonstrate the affordances of these three approaches, providing a critical evaluation of Vertex AI's capabilities and the abilities of popular corpus software to work with visually tagged corpora. The Element acts as a practical guide for researchers who want to carry out this form of analysis. This title is also available as Open Access on Cambridge Core.

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