CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Multi-Modal Supervised Latent Dirichlet Allocation for Event Classification in Social Media
Shengsheng Qian; Tianzhu Zhang; Changsheng Xu
2014-07
Conference NameInternational Conference on Internet Multimedia Computing and Service
Conference DateJuly 10-12, 2014
Conference PlaceXiamen, China
Abstract

In social media, many existing websites (e.g., Flickr, YouTube, and Facebook) are for users to share their own interests and opinions of many popular events, and successfully facilitate the event generation, sharing and propagation. As a result, there are substantial amounts of user-contributed media data (e.g., images, videos, and textual content) for a wide variety of real-world events of different types and scales. The aim of this paper is to automatically identify the interesting events from massive social media data, which are useful to browse, search and monitor social events by users or governments. To achieve this goal, we propose a novel multi-modal supervised latent dirichlet allocation (mm-SLDA) for social event classification. Our proposed mm-SLDA has a number of advantages. (1) It can effectively exploit the multi-modality and the multi-class property of social events jointly. (2) It makes use of the supervised social event category label information and is able to classify multi-class social event directly. We evaluate our proposed mm-SLDA on a real world dataset and show extensive experimental results, which demonstrate that our model outperforms state-of-the-art methods.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14792
Collection模式识别国家重点实验室_多媒体计算与图形学
Corresponding AuthorChangsheng Xu
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Shengsheng Qian,Tianzhu Zhang,Changsheng Xu. Multi-Modal Supervised Latent Dirichlet Allocation for Event Classification in Social Media[C],2014.
Files in This Item: Download All
File Name/Size DocType Version Access License
ICIMCS14_MMSLDA for (1198KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Shengsheng Qian]'s Articles
[Tianzhu Zhang]'s Articles
[Changsheng Xu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Shengsheng Qian]'s Articles
[Tianzhu Zhang]'s Articles
[Changsheng Xu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Shengsheng Qian]'s Articles
[Tianzhu Zhang]'s Articles
[Changsheng Xu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: ICIMCS14_MMSLDA for Event Classification.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.