Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s11042-018-6297-6 |
Cross the data desert: generating textual-visual summary on the evolutionary microblog stream | |
Xiong, Yu1; Zhou, Xiangmin2; Zhang, Yifei1,3; Feng, Shi1,3; Wang, Daling1,3 | |
通讯作者 | Wang, Daling |
来源期刊 | MULTIMEDIA TOOLS AND APPLICATIONS
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ISSN | 1380-7501 |
EISSN | 1573-7721 |
出版年 | 2019 |
卷号 | 78期号:6页码:6409-6440 |
英文摘要 | Effectively and efficiently summarizing social media is crucial and non-trivial to analyze social media. On social streams, events which are the main concept of semantic similar social messages, often bring us a firsthand story of daily news. However, to identify the valuable news, it is almost impossible to plough through millions of multi-modal messages one by one with traditional methods. Thus, it is urgent to summarize events with a few representative data samples on the streams. In this paper, we provide a vivid textual-visual media summarization approach for microblog streams, which exploits the incremental latent semantic analysis (LSA) of detected events. Firstly, with a novel weighting scheme for keyword relationship, we can detect and track daily sub-events on a keyword relation graph (WordGraph) of microblog streams effectively. Then, to summarize the stream with representative texts and images, we use cross-modal fusion to analyze the semantics of microblog texts and images incrementally and separately, with a novel incremental cross-modal LSA algorithm. The experimental results on a real microblog dataset show that our method is at least 1.31% better and 23.67% faster than existing state-of-the-art methods, and cross-modal fusion can improve the summarization performance by 4.16% on average. |
英文关键词 | Event detection and tracking Textual-visual summarization Incremental latent semantic analysis Cross-modal data fusion Social media event Microblog stream |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Australia |
收录类别 | SCI-E |
WOS记录号 | WOS:000468529700001 |
WOS关键词 | EVENT DETECTION ; INFORMATION ; GRAPH |
WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS研究方向 | Computer Science ; Engineering |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/217698 |
作者单位 | 1.Northeastern Univ, Sch Comp Sci & Engn, Shenyang, Liaoning, Peoples R China; 2.RMIT Univ, Sch Comp Sci & Informat Technol, Melbourne, Vic, Australia; 3.Northeastern Univ, Minist Educ, Key Lab Med Image Comp, Shenyang, Liaoning, Peoples R China |
推荐引用方式 GB/T 7714 | Xiong, Yu,Zhou, Xiangmin,Zhang, Yifei,et al. Cross the data desert: generating textual-visual summary on the evolutionary microblog stream[J],2019,78(6):6409-6440. |
APA | Xiong, Yu,Zhou, Xiangmin,Zhang, Yifei,Feng, Shi,&Wang, Daling.(2019).Cross the data desert: generating textual-visual summary on the evolutionary microblog stream.MULTIMEDIA TOOLS AND APPLICATIONS,78(6),6409-6440. |
MLA | Xiong, Yu,et al."Cross the data desert: generating textual-visual summary on the evolutionary microblog stream".MULTIMEDIA TOOLS AND APPLICATIONS 78.6(2019):6409-6440. |
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