Automatic Image Tagging for Corpus Linguistics: A Multimodal Study of News Representations of Islam (Elements in Corpus Linguistics)

Baker, Paul; Schmück, Hanna; Qian, Yufang

ISBN 10: 1009581252 / ISBN 13: 9781009581257

Published by Cambridge University Press, 2025

About this Item

Seller Inventory # 409938429

Bibliographic Details

• Title: Automatic Image Tagging for Corpus Linguistics: A Multimodal Study of News Representations of Islam (Elements in Corpus Linguistics)
• Publisher: Cambridge University Press
• Publication Date: 2025
• Language: English
• ISBN 10: 1009581252
• ISBN 13: 9781009581257
• Binding: Soft cover
• Condition: New

About this title

Synopsis

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.