Social Relationship Labeling Based on Multimodal Behaviors and Social Interactions

被引：1

作者：

Huang, Xiaowen ^{[1
,3
]}

Xu, Changsheng ^{[2
,3
]}

Xiang, Liancheng ^{[2
]}

Sang, Jitao ^{[4
]}

机构：

[1] Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China

[2] Chinese Acad Sci, Beijing, Peoples R China

[3] Univ Chinese Acad Sci, Beijing, Peoples R China

[4] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing, Peoples R China

来源：

IEEE MULTIMEDIA | 2018年 / 25卷 / 04期

基金：

中国国家自然科学基金;

关键词：

RELATIONSHIP CLASSIFICATION;

D O I：

10.1109/MMUL.2018.2873498

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is addressing the social relationship labeling problem by exploiting user's 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.

引用

页码：68 / 78

页数：11

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