Understanding emotions in SNS images from posters' perspectives
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Song, Junho | - |
dc.contributor.author | Han, Kyungsik | - |
dc.contributor.author | Lee, Dongwon | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.date.accessioned | 2022-07-08T09:24:34Z | - |
dc.date.available | 2022-07-08T09:24:34Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2020-03 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/146032 | - |
dc.description.abstract | As the popularity of media-based social networking services (SNS), such as Instagram and Snapchat, has increased significantly, a growing body of research has analyzed SNS images in relation to emotional analysis and classification model development. However, these prior studies were based on relatively small amounts of data, where the emotions of images were labeled from viewers' perspectives, not posters' perspectives. Consequently, we analyze 120K images that reflect poster's emotion. We develop color- and content-based classification models by considering: (1) the dynamics of SNS, in terms of the volume and variety of images shared, and (2) the fact that people express their emotions through colors and objects. We demonstrate the comparable performance of our model with models proposed in prior studies and discuss the applications. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | Understanding emotions in SNS images from posters' perspectives | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/3341105.3373923 | - |
dc.identifier.scopusid | 2-s2.0-85083028767 | - |
dc.identifier.bibliographicCitation | Proceedings of the ACM Symposium on Applied Computing, pp.450 - 457 | - |
dc.relation.isPartOf | Proceedings of the ACM Symposium on Applied Computing | - |
dc.citation.title | Proceedings of the ACM Symposium on Applied Computing | - |
dc.citation.startPage | 450 | - |
dc.citation.endPage | 457 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Labeled data | - |
dc.subject.keywordPlus | Social networking (online) | - |
dc.subject.keywordPlus | Classification models | - |
dc.subject.keywordPlus | Content-based classification | - |
dc.subject.keywordPlus | Emotional analysis | - |
dc.subject.keywordPlus | Growing bodies | - |
dc.subject.keywordPlus | Social networking services | - |
dc.subject.keywordPlus | Image analysis | - |
dc.subject.keywordAuthor | Classification | - |
dc.subject.keywordAuthor | Image-based emotion analysis | - |
dc.subject.keywordAuthor | Social network service | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/3341105.3373923 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.