An event summarizing algorithm based on the timeline relevance model in Sina Weibo

被引：0

作者：

Kai LEI ^{[1
]}

Lizhu ZHANG ^{[1
]}

Ying LIU ^{[1
]}

Ying SHEN ^{[1
]}

Chenwei LIU ^{[1
]}

Qian YU ^{[1
]}

Weitao WENG ^{[1
]}

机构：

[1] Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA),School of Electronics and Computer Engineering, Peking University

来源：

Science China(Information Sciences) | 2018年 / 61卷 / 12期

关键词：

IDF; TF; HAC; An event summarizing algorithm based on the timeline relevance model in Sina Weibo;

D O I：

暂无

中图分类号：

TP393.092 [];

学科分类号：

080402 ;

摘要：

Dear editor,Depicting superior punctuality and originality,Weibo has become increasingly critical and influential in China for online information acquisition and sharing. However, very few research has studied Weibo to investigate event summarizing even though most of the published Weibos are event-driven. Besides, we observe that the existing methods are unsuitable for process-

引用

页码：184 / 186

页数：3

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