Social Relationship Labeling Based on Multimodal Behaviors and Social Interactions
| Autor: | Liancheng Xiang, Jitao Sang, Changsheng Xu, Xiaowen Huang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
business.industry
Computer science Specific-information Feature extraction 02 engineering and technology Machine learning computer.software_genre Automation Computer Science Applications Labeling Problem Hardware and Architecture 020204 information systems Signal Processing 0202 electrical engineering electronic engineering information engineering Media Technology Social relationship 020201 artificial intelligence & image processing Artificial intelligence business computer Software |
| Zdroj: | IEEE MultiMedia. 25:68-78 |
| ISSN: | 1941-0166 1070-986X |
| DOI: | 10.1109/mmul.2018.2873498 |
| Popis: | This paper is addressing the social relationship labeling problem by exploiting users' multi-modal behaviors and abundant social interactions on Twitter. This can effectively alleviate the problem of lacking specific information of following relationships. The experimental results demonstrate the effectiveness of the designed features and different classifiers. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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