NDLI: Multilingual visual sentiment concept clustering and analysis

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Multilingual visual sentiment concept clustering and analysis

Content Provider	Springer Nature Link
Author	Pappas, Nikolaos Chang, Shih Fu Jou, Brendan Chen, Tao Redi, Miriam Topkara, Mercan Liu, Hongyi
Copyright Year	2017
Abstract	Visual content is a rich medium that can be used to communicate not only facts and events, but also emotions and opinions. In some cases, visual content may carry a universal affective bias (e.g., natural disasters or beautiful scenes). Often however, to achieve a parity in the affections a visual media invokes in its recipient compared to the one an author intended requires a deep understanding and even sharing of cultural backgrounds. In this study, we propose a computational framework for the clustering and analysis of multilingual visual affective concepts used in different languages which enable us to pinpoint alignable differences (via similar concepts) and nonalignable differences (via unique concepts) across cultures. To do so, we crowdsource sentiment labels for the MVSO dataset, which contains 16 K multilingual visual sentiment concepts and 7.3M images tagged with these concepts. We then represent these concepts in a distribution-based word vector space via (1) pivotal translation or (2) cross-lingual semantic alignment. We then evaluate these representations on three tasks: affective concept retrieval, concept clustering, and sentiment prediction—all across languages. The proposed clustering framework enables the analysis of the large multilingual dataset both quantitatively and qualitatively. We also show a novel use case consisting of a facial image data subset and explore cultural insights about visual sentiment concepts in such portrait-focused images.
Starting Page	51
Ending Page	70
Page Count	20
File Format	PDF
ISSN	21926611
Journal	International Journal of Multimedia Information Retrieval
Volume Number	6
Issue Number	1
e-ISSN	2192662X
Language	English
Publisher	Springer London
Publisher Date	2017-02-20
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Information Systems Applications (incl.Internet) Ontology Information Storage and Retrieval Data Mining and Knowledge Discovery Cultures Multilingual Multimedia Information Systems Concept detection Sentiment Cross-cultural Language Social multimedia Image Processing and Computer Vision Computer Science Emotion
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems Media Technology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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