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Multimodal Texts in Disciplinary Education [PDF]
, 2021 This open access book provides an introduction to multimodality and the role of multimodal texts in today’s education. Presenting a comprehensive framework for analysing and working with multimodal texts in disciplinary education, it serves as a tool for researchers and teachers alike. The second part of the book focuses on sample analyses of a variety
Danielsson, Kristina, Selander, Staffan
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Using Multimodal Text to Support Learning in the Developmental Curriculum Cycle [PDF]
Educaţia 21The study realizes a theoretical approach that reviews the literature by bringing key arguments and concepts that support the introduction of multimodal text in the school curriculum as a support in learning and understanding texts for students in the ...
Elena Maria Miclea, Alina Felicia Roman
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IEEE Access, 2023 Multimodal learning has gained immense popularity due to the explosive growth in the volume of image and textual data in various domains. Vision-language heterogeneous multimodal data has been utilized to solve a variety of tasks including classification,
Priyankar Bose +2 more
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Text-Image Gated Fusion Mechanism for Multimodal Aspect-based Sentiment Analysis [PDF]
Jisuanji kexueMultimodal aspect-based sentiment analysis is an emerging task in multimodal sentiment analysis field,which aims to identify the sentiment of each given aspect in text and image.Although recent research on multimodal sentiment analysis has made ...
ZHANG Tianzhi, ZHOU Gang, LIU Hongbo, LIU Shuo, CHEN Jing
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Teaching Multimodal Literacy Through Reading and Writing Graphic Novels
Language and Literacy: A Canadian Educational e-journal, 2017 Scholarship suggests that writing teachers and instructors looking to integrate multimodal composition into their secondary or post-secondary classrooms should consider graphic novels as a mentor text for multimodal literacy.
Mike P. Cook, Jeffrey S.J. Kirchoff
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Text-image semantic relevance identification for aspect-based multimodal sentiment analysis [PDF]
PeerJ Computer ScienceAspect-based multimodal sentiment analysis (ABMSA) is an emerging task in the research of multimodal sentiment analysis, which aims to identify the sentiment of each aspect mentioned in multimodal sample.
Tianzhi Zhang +5 more
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A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data [PDF]
, 2015 Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to deal with multimodal data, such as in image annotation tasks.
Larochelle, Hugo +2 more
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Covid-19 Pandemic in Political Cartoons of the American Press: An Experience of Multimodal Analysis
Научный диалог, 2021 An attempt is made to analyze the place of political cartoons in the current socio-political media discourse in the United States. The material was the cartoons published in the spring of 2020 from USA Today and Philadelphia Inquirer, the informational ...
E. M. Pozdnyakova, O. A. Blinova
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HMTL: Heterogeneous Modality Transfer Learning for Audio-Visual Sentiment Analysis
IEEE Access, 2020 Multimodal sentiment analysis is an extended approach to traditional language-based sentiment analysis, which uses other relevant modality data. Multimodal sentiment analysis usually applies visual, textual, and acoustic representations for sentiment ...
Sanghyun Seo, Sanghyuck Na, Juntae Kim
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PENTINGNYA PENGGUNAAN PENDEKATAN MULTIMODAL DALAM PEMBELAJARAN
Waskita: Jurnal Pendidikan Nilai dan Pembangunan Karakter, 2020 Nowadays globalization and rapid technological developments able to explained all means of meaning under the theory of multimodality. Multimodal is any source of verbal and visual semiotics that can be used to realize the type and level of dialogical ...
Taufiq Akbar Al Fajri
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