Summarizing timelines based on content and social network

Yue Ha; Xueqing Gong; Weining Qian; Aoying Zhou

doi:10.1109/WISA.2013.57

Summarizing timelines based on content and social network

Yue Ha, Xueqing Gong^*, Weining Qian, Aoying Zhou

^*Corresponding author for this work

East China Normal University

Research output: Contribution to conference › Paper › peer-review

Abstract

With the rapid growth of social network such as Twitter and SinaWeibo, more and more applications are designed for users to manage and serve for their social network platform. In this paper, we focus on the problem of summarization of timelines, which is useful for filtering out replicated posts and organizing posts in a more structured way. The content of short text is combined with social network for clustering posts. A corpus of Sina Weibo is annotated. Intensive experiments are conducted based on the corpus. We show that our method may achieve high precision and recall. The corpus is also shared for research community for further research.

Original language	English
Pages	265-270
Number of pages	6
DOIs	https://doi.org/10.1109/WISA.2013.57
State	Published - 2013
Event	2013 10th Web Information System and Application Conference, WISA 2013 - Yangzhou, Jiangsu, China Duration: 1 Nov 2013 → 3 Nov 2013

Conference

Conference	2013 10th Web Information System and Application Conference, WISA 2013
Country/Territory	China
City	Yangzhou, Jiangsu
Period	1/11/13 → 3/11/13

Keywords

Short Text Clustering
Social Network
Summarization of Timeline

Access to Document

10.1109/WISA.2013.57

Cite this

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abstract = "With the rapid growth of social network such as Twitter and SinaWeibo, more and more applications are designed for users to manage and serve for their social network platform. In this paper, we focus on the problem of summarization of timelines, which is useful for filtering out replicated posts and organizing posts in a more structured way. The content of short text is combined with social network for clustering posts. A corpus of Sina Weibo is annotated. Intensive experiments are conducted based on the corpus. We show that our method may achieve high precision and recall. The corpus is also shared for research community for further research.",

keywords = "Short Text Clustering, Social Network, Summarization of Timeline",

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year = "2013",

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language = "英语",

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T1 - Summarizing timelines based on content and social network

AU - Ha, Yue

AU - Gong, Xueqing

AU - Qian, Weining

AU - Zhou, Aoying

PY - 2013

Y1 - 2013

N2 - With the rapid growth of social network such as Twitter and SinaWeibo, more and more applications are designed for users to manage and serve for their social network platform. In this paper, we focus on the problem of summarization of timelines, which is useful for filtering out replicated posts and organizing posts in a more structured way. The content of short text is combined with social network for clustering posts. A corpus of Sina Weibo is annotated. Intensive experiments are conducted based on the corpus. We show that our method may achieve high precision and recall. The corpus is also shared for research community for further research.

AB - With the rapid growth of social network such as Twitter and SinaWeibo, more and more applications are designed for users to manage and serve for their social network platform. In this paper, we focus on the problem of summarization of timelines, which is useful for filtering out replicated posts and organizing posts in a more structured way. The content of short text is combined with social network for clustering posts. A corpus of Sina Weibo is annotated. Intensive experiments are conducted based on the corpus. We show that our method may achieve high precision and recall. The corpus is also shared for research community for further research.

KW - Short Text Clustering

KW - Social Network

KW - Summarization of Timeline

UR - https://www.scopus.com/pages/publications/84899070383

U2 - 10.1109/WISA.2013.57

DO - 10.1109/WISA.2013.57

M3 - 论文

AN - SCOPUS:84899070383

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EP - 270

T2 - 2013 10th Web Information System and Application Conference, WISA 2013

Y2 - 1 November 2013 through 3 November 2013

ER -

Summarizing timelines based on content and social network

Abstract

Conference

Keywords

Access to Document

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