Chapter 4. VisMet and the crowd
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Marianna Bolognesi
Abstract
This chapter describes the data collection and analysis related to a new digital resource soon to be added to the VisMet 1.0 corpus of visual metaphor (http://www.vismet.org/VisMet/, Bolognesi, van den Heerik, van den Berg, 2018), consisting of crowdsourced tags. Tags are keywords used by online coders, non-expert of metaphors, to annotate and describe the images to which they were exposed, for different amounts of seconds.
The semantic information retrieved through this Social tagging experiment allows us to explore the type of information that users extract from visual metaphors, in a setting that better resembles the natural environment in which these images are usually experienced (i.e., for very limited amounts of seconds). We hereby provide methodological guidelines on this innovative procedure and report the results of our data collection and content analysis in which we manually classified the type of semantic information encoded in the tags.
Abstract
This chapter describes the data collection and analysis related to a new digital resource soon to be added to the VisMet 1.0 corpus of visual metaphor (http://www.vismet.org/VisMet/, Bolognesi, van den Heerik, van den Berg, 2018), consisting of crowdsourced tags. Tags are keywords used by online coders, non-expert of metaphors, to annotate and describe the images to which they were exposed, for different amounts of seconds.
The semantic information retrieved through this Social tagging experiment allows us to explore the type of information that users extract from visual metaphors, in a setting that better resembles the natural environment in which these images are usually experienced (i.e., for very limited amounts of seconds). We hereby provide methodological guidelines on this innovative procedure and report the results of our data collection and content analysis in which we manually classified the type of semantic information encoded in the tags.
Kapitel in diesem Buch
- Prelim pages i
- Table of contents vii
- Preface and acknowledgements ix
- Fantastic metaphors and where to find them 1
-
Part I. New methods and digital resources for mining metaphor and metonymy in thought, language, and images
- Chapter 1. MetaNet 23
- Chapter 2. The tripartite typology and the Córdoba Metonymy Database 49
- Chapter 3. Metaphor in the age of mechanical production 75
- Chapter 4. VisMet and the crowd 99
- Chapter 5. MetaNet.HR 123
-
Part II. Reflecting on the risks and challenges involved in building and using repositories of figurative language
- Chapter 6. The lexical vs. corpus-based method in the study of metaphors 149
- Chapter 7. Figurative reasoning in hedged performatives 175
- Chapter 8. Mereology in the flesh 199
- Chapter 9. Metaphor repositories and cross-linguistic comparison 225
- Notes on contributors 253
- Metonymy and metaphor index 255
- Author index 257
- Subject index 261
Kapitel in diesem Buch
- Prelim pages i
- Table of contents vii
- Preface and acknowledgements ix
- Fantastic metaphors and where to find them 1
-
Part I. New methods and digital resources for mining metaphor and metonymy in thought, language, and images
- Chapter 1. MetaNet 23
- Chapter 2. The tripartite typology and the Córdoba Metonymy Database 49
- Chapter 3. Metaphor in the age of mechanical production 75
- Chapter 4. VisMet and the crowd 99
- Chapter 5. MetaNet.HR 123
-
Part II. Reflecting on the risks and challenges involved in building and using repositories of figurative language
- Chapter 6. The lexical vs. corpus-based method in the study of metaphors 149
- Chapter 7. Figurative reasoning in hedged performatives 175
- Chapter 8. Mereology in the flesh 199
- Chapter 9. Metaphor repositories and cross-linguistic comparison 225
- Notes on contributors 253
- Metonymy and metaphor index 255
- Author index 257
- Subject index 261
