@inproceedings{665079c339434565aeba96a3ebc3ccb8,
title = "Extracting main content of a topic on online social network by multi-document summarization",
abstract = "Online social media has become one of the most important ways people communicate, while how to find valuable information from huge amounts of data becomes a key problem. We present a novel topic extraction method that employs topic value of each words and social model attributes as additional features based on the multi-document summarization. The experimental results show that the multi-document summarization with the topic and the sociality are helpful to extract topics from social media.",
keywords = "big data, media, multi-document summarization",
author = "Chunyan Liu and Conghui Zhu and Tiejun Zhao and Dequan Zheng",
year = "2012",
doi = "10.1109/CIS.2012.20",
language = "英语",
isbn = "9780769548968",
series = "Proceedings of the 2012 8th International Conference on Computational Intelligence and Security, CIS 2012",
publisher = "IEEE Computer Society",
pages = "52--55",
booktitle = "Proceedings of the 2012 8th International Conference on Computational Intelligence and Security, CIS 2012",
address = "美国",
note = "8th International Conference on Computational Intelligence and Security, CIS 2012 ; Conference date: 17-11-2012 Through 18-11-2012",
}