Automatic image tagging for corpus linguistics : a multimodal study of news representations of Islam /
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 tag...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cambridge :
Cambridge University Press,
2025.
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| Series: | Cambridge elements. Elements in corpus linguistics.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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. |
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| Physical Description: | 1 online resource (75 pages). |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9781009581264 1009581260 9781009581233 1009581236 |
| DOI: | 10.1017/9781009581233 |