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Constructing Corpora from Images and Text:An introduction to Visual Constituent Analysis
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Abstract:
Visual analysis represents a significant oversight in the corpus literature, and possibly one that may lead to unintended omissions, particularly when analysing social media. In this chapter we introduce Visual Constituent Analysis (VCA), a method of multimodal corpus construction that allows researchers to construct and analyse visual aspects of online media in large-scale corpora. The chapter addresses the shortcomings of a purely textual approach to discourse analysis when dealing with social media texts and offers a solution using computer ‘Vision’-based image annotation (in our case Google Cloud Vision). Finally, we demonstrate how our approach can be used to analyse a sample of 150,000 micro-blog posts from Twitter and show the difference in level of user interaction with combined image/texts over language-only social media texts.
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URL: https://eprints.lancs.ac.uk/id/eprint/149340/
https://doi.org/10.1075/scl.98
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Visual Constituent Analysis:A Novel Method for Analysing Large Multimodal Text-Image Corpora
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