TY  - BOOK
AU  - Baker,Paul
AU  - Schmück,Hanna
AU  - Qian,Yufang
TI  - Automatic image tagging for corpus linguistics: a multimodal study of news representations of Islam 
T2  - Cambridge elements. Elements in corpus linguistics,
SN  - 9781009581233 (ebook)
AV  - P128.C68 B34 2025
U1  - 410.188 23
PY  - 2025///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Corpora (Linguistics)
KW  - Data processing
KW  - Great Britain
KW  - Journalism, Pictorial
KW  - Islam in mass media
KW  - Muslims
KW  - Press coverage
N1  - Title from publisher's bibliographic system (viewed on 18 Jul 2025); Open Access
N2  - 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
UR  - https://doi.org/10.1017/9781009581233
ER  -