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Full text release has been delayed at the author's request until August 31, 2025
ETD Abstract Container
Abstract Header
Texts, Images, and Emotions in Political Methodology
Author Info
Yang, Seo Eun
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1658489994363848
Abstract Details
Year and Degree
2022, Doctor of Philosophy, Ohio State University, Political Science.
Abstract
My dissertation comprises (1) the development of a machine learning framework that combines verbal and visual features together, models the intricate web of relationships between them, and extracts visual semantics, and (2) the application of a deep learning and a transfer learning framework to extract emotions from social media posts. This dissertation consists of three papers as follows. The first paper introduces a machine-learning visual framing analysis to examine the visual and verbal patterns of online news reporting and explore image-text relations in news stories. The second paper presents a machine-learning multimodal framing analysis to integrate the various types of data (e.g., image, text, and metadata) simultaneously and extract the semantic meaning from them together. The third paper is an application of a deep learning and a transfer learning to show the power of Twitter in providing fine-grained measures of real-time emotions and thereby offer a comprehensive overview of the role of emotions in voting participation. My dissertation can take into account various types of data simultaneously and extract politically meaningful semantics using computer vision, NLP, graph theory, high-dimensional statistics, and transfer learning.
Committee
Skyler Cranmer (Committee Chair)
Janet Box-Steffensmeier (Committee Member)
Robert Bond (Committee Member)
Pages
110 p.
Subject Headings
Communication
;
Computer Science
;
Political Science
Keywords
Multimodal topic model, Hypergraph, Tensor decomposition, Machine learning, Transfer learning, Political communication, Political Behavior, Visual Politics
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Citations
Yang, S. E. (2022).
Texts, Images, and Emotions in Political Methodology
[Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1658489994363848
APA Style (7th edition)
Yang, Seo Eun.
Texts, Images, and Emotions in Political Methodology.
2022. Ohio State University, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1658489994363848.
MLA Style (8th edition)
Yang, Seo Eun. "Texts, Images, and Emotions in Political Methodology." Doctoral dissertation, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1658489994363848
Chicago Manual of Style (17th edition)
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Document number:
osu1658489994363848
Copyright Info
© 2022, some rights reserved.
Texts, Images, and Emotions in Political Methodology by Seo Eun Yang is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.