Referenced Items are not available for this document.
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.
Published in:
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Date of Conference: 17-18 Nov. 2012
- Page(s):
- 52 - 55
- Print ISBN:
- 978-1-4673-4725-9
- INSPEC Accession Number:
- 13243315
- Conference Location :
- Guangzhou
- Digital Object Identifier :
- 10.1109/CIS.2012.20
- Product Type:
- Conference Publications
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